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Kaiwei Chang
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2020 – today
- 2024
[j17]Everett Fall, Kai-Wei Chang, Liang-Gee Chen:
Tree-managed network ensembles for video prediction. Mach. Vis. Appl. 35(4): 90 (2024)- [j16]Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh:
Red Teaming Language Model Detectors with Language Models. Trans. Assoc. Comput. Linguistics 12: 174-189 (2024) - [j15]Kai-Wei Chang
, Haibin Wu, Yu-Kai Wang, Yuan-Kuei Wu, Hua Shen, Wei-Cheng Tseng, Iu-thing Kang, Shang-wen Li, Hung-Yi Lee:
SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3730-3744 (2024) - [c232]Di Wu, Da Yin, Kai-Wei Chang:
KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation. ACL (Findings) 2024: 1959-1981 - [c231]Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng:
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data. ACL (Findings) 2024: 9215-9235 - [c230]Haibin Wu, Ho-Lam Chung, Yi-Cheng Lin, Yuan-Kuei Wu, Xuanjun Chen, Yu-Chi Pai, Hsiu-Hsuan Wang, Kai-Wei Chang, Alexander H. Liu, Hung-yi Lee:
Codec-SUPERB: An In-Depth Analysis of Sound Codec Models. ACL (Findings) 2024: 10330-10348 - [c229]Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan:
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. ACL (1) 2024: 12302-12319 - [c228]Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin:
Agent Lumos: Unified and Modular Training for Open-Source Language Agents. ACL (1) 2024: 12380-12403 - [c227]Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Prem Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji:
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction. ACL (Findings) 2024: 12804-12825 - [c226]Jooyoung Lee, Fan Yang, Thanh Tran, Qian Hu, Emre Barut, Kai-Wei Chang:
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought. LREC/COLING 2024: 2835-2843 - [c225]Masoud Monajatipoor, Zi-Yi Dou, Aichi Chien, Nanyun Peng, Kai-Wei Chang:
Medical Vision-Language Pre-Training for Brain Abnormalities. LREC/COLING 2024: 11159-11164 - [c224]Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang:
On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation. LREC/COLING 2024: 12370-12384 - [c223]Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover:
VideoCon: Robust Video-Language Alignment via Contrast Captions. CVPR 2024: 13927-13937 - [c222]Oscar Chew, Hsuan-Tien Lin, Kai-Wei Chang, Kuan-Hao Huang:
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis. EACL (Findings) 2024: 1013-1025 - [c221]Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Yu Qiao, Peng Gao, Hongsheng Li:
MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? ECCV (8) 2024: 169-186 - [c220]Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta:
FLIRT: Feedback Loop In-context Red Teaming. EMNLP 2024: 703-718 - [c219]Silin Meng, Yiwei Wang, Cheng-Fu Yang, Nanyun Peng, Kai-Wei Chang:
LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning. EMNLP (Findings) 2024: 1087-1102 - [c218]Ashima Suvarna, Xiao Liu, Tanmay Parekh, Kai-Wei Chang, Nanyun Peng:
QUDSELECT: Selective Decoding for Questions Under Discussion Parsing. EMNLP 2024: 1288-1299 - [c217]Shujin Wu, Yi Fung, Sha Li, Yixin Wan, Kai-Wei Chang, Heng Ji:
MACAROON: Training Vision-Language Models To Be Your Engaged Partners. EMNLP (Findings) 2024: 7715-7731 - [c216]Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan:
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models. EMNLP 2024: 8089-8100 - [c215]Di Wu, Xiaoxian Shen, Kai-Wei Chang:
MetaKP: On-Demand Keyphrase Generation. EMNLP (Findings) 2024: 8420-8437 - [c214]Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang:
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention. EMNLP 2024: 9082-9100 - [c213]Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang:
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation. EMNLP 2024: 9390-9406 - [c212]Xueqing Wu, Zongyu Lin, Songyan Zhao, Te-Lin Wu, Pan Lu, Nanyun Peng, Kai-Wei Chang:
VDebugger: Harnessing Execution Feedback for Debugging Visual Programs. EMNLP (Findings) 2024: 9845-9860 - [c211]Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, Nanyun Peng:
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness. EMNLP 2024: 12936-12965 - [c210]Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris:
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification. EMNLP (Findings) 2024: 13329-13341 - [c209]Bingxuan Li, Yiwei Wang, Tao Meng, Kai-Wei Chang, Nanyun Peng:
Control Large Language Models via Divide and Conquer. EMNLP 2024: 15240-15256 - [c208]Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng:
Re-ReST: Reflection-Reinforced Self-Training for Language Agents. EMNLP 2024: 15394-15411 - [c207]Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, Pan Lu, Zhen-Hua Ling, Kai-Wei Chang, Nanyun Peng:
Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue. EMNLP 2024: 16801-16819 - [c206]Chien-Yu Huang, Ke-Han Lu, Shih-Heng Wang, Chi-Yuan Hsiao, Chun-Yi Kuan, Haibin Wu, Siddhant Arora, Kai-Wei Chang, Jiatong Shi, Yifan Peng, Roshan S. Sharma, Shinji Watanabe, Bhiksha Ramakrishnan, Shady Shehata, Hung-Yi Lee:
Dynamic-Superb: Towards a Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark For Speech. ICASSP 2024: 12136-12140 - [c205]Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao:
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. ICLR 2024 - [c204]Haoxuan You, Mandy Guo, Zhecan Wang, Kai-Wei Chang, Jason M. Baldridge, Jiahui Yu:
CoBIT: A Contrastive Bi-directional Image-Text Generation Model. ICLR 2024 - [c203]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c202]Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng:
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models. ICML 2024 - [c201]Fan Yin, Jayanth Srinivasa, Kai-Wei Chang:
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension. ICML 2024 - [c200]Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng:
On Prompt-Driven Safeguarding for Large Language Models. ICML 2024 - [c199]Junzhang Liu, Zhecan Wang, Hammad A. Ayyubi, Haoxuan You, Chris Thomas, Rui Sun, Shih-Fu Chang, Kai-Wei Chang:
Detecting Multimodal Situations with Insufficient Context and Abstaining from Baseless Predictions. ACM Multimedia 2024: 8402-8411 - [c198]Ansel Blume, Khanh Duy Nguyen, Zhenhailong Wang, Yangyi Chen, Michal Shlapentokh-Rothman, Xiaomeng Jin, Jeonghwan Kim, Zhen Zhu, Jiateng Liu, Kuan-Hao Huang, Mankeerat Sidhu, Xuanming Zhang, Vivian Liu, Raunak Sinha, Te-Lin Wu, Abhay Zala, Elias Stengel-Eskin, Da Yin, Yao Xiao, Utkarsh Mall, Zhou Yu, Kai-Wei Chang, Camille Cobb, Karrie Karahalios, Lydia B. Chilton, Mohit Bansal, Nanyun Peng, Carl Vondrick, Derek Hoiem, Heng Ji:
MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System. ACM Multimedia 2024: 11252-11254 - [c197]Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta:
Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. NAACL-HLT (Findings) 2024: 1739-1756 - [c196]Mingyu Derek Ma, Jiun-Yu Kao, Arpit Gupta, Yu-Hsiang Lin, Wenbo Zhao, Tagyoung Chung, Wei Wang, Kai-Wei Chang, Nanyun Peng:
Mitigating Bias for Question Answering Models by Tracking Bias Influence. NAACL-HLT 2024: 4592-4610 - [c195]Xiao Liu, Yansong Feng, Kai-Wei Chang:
CASA: Causality-driven Argument Sufficiency Assessment. NAACL-HLT 2024: 5282-5302 - [c194]Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng:
Contextual Label Projection for Cross-Lingual Structured Prediction. NAACL-HLT 2024: 5738-5757 - [c193]Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang:
Event Detection from Social Media for Epidemic Prediction. NAACL-HLT 2024: 5758-5783 - [c192]Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta:
The steerability of large language models toward data-driven personas. NAACL-HLT 2024: 7290-7305 - [e3]Kai-Wei Chang, Annie Lee, Nazneen Rajani:
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, NAACL 2024, Mexico City, Mexico, June 16-21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-116-2 [contents] - [i239]Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, Pan Lu, Zhen-Hua Ling, Kai-Wei Chang, Nanyun Peng:
Model Editing Can Hurt General Abilities of Large Language Models. CoRR abs/2401.04700 (2024) - [i238]Xiao Liu, Yansong Feng, Kai-Wei Chang:
CASA: Causality-driven Argument Sufficiency Assessment. CoRR abs/2401.05249 (2024) - [i237]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i236]Yiwei Wang, Muhao Chen, Nanyun Peng, Kai-Wei Chang:
DeepEdit: Knowledge Editing as Decoding with Constraints. CoRR abs/2401.10471 (2024) - [i235]Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng:
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models. CoRR abs/2401.13311 (2024) - [i234]Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng:
Prompt-Driven LLM Safeguarding via Directed Representation Optimization. CoRR abs/2401.18018 (2024) - [i233]Yixin Wan, Kai-Wei Chang:
The Male CEO and the Female Assistant: Probing Gender Biases in Text-To-Image Models Through Paired Stereotype Test. CoRR abs/2402.11089 (2024) - [i232]Haibin Wu, Huang-Cheng Chou, Kai-Wei Chang, Lucas Goncalves, Jiawei Du, Jyh-Shing Roger Jang, Chi-Chun Lee, Hung-Yi Lee:
EMO-SUPERB: An In-depth Look at Speech Emotion Recognition. CoRR abs/2402.13018 (2024) - [i231]Haibin Wu, Ho-Lam Chung, Yi-Cheng Lin, Yuan-Kuei Wu, Xuanjun Chen, Yu-Chi Pai, Hsiu-Hsuan Wang, Kai-Wei Chang, Alexander H. Liu, Hung-yi Lee:
Codec-SUPERB: An In-Depth Analysis of Sound Codec Models. CoRR abs/2402.13071 (2024) - [i230]Haibin Wu, Xuanjun Chen, Yi-Cheng Lin, Kai-Wei Chang, Ho-Lam Chung, Alexander H. Liu, Hung-yi Lee:
Towards audio language modeling - an overview. CoRR abs/2402.13236 (2024) - [i229]Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang:
On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation. CoRR abs/2402.14052 (2024) - [i228]Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng:
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data. CoRR abs/2402.17644 (2024) - [i227]Fan Yin, Jayanth Srinivasa, Kai-Wei Chang:
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension. CoRR abs/2402.18048 (2024) - [i226]Xueqing Wu, Rui Zheng, Jingzhen Sha, Te-Lin Wu, Hanyu Zhou, Mohan Tang, Kai-Wei Chang, Nanyun Peng, Haoran Huang:
DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation. CoRR abs/2403.02528 (2024) - [i225]Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Peng Gao, Hongsheng Li:
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? CoRR abs/2403.14624 (2024) - [i224]Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover:
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization. CoRR abs/2404.00530 (2024) - [i223]Yixin Wan, Arjun Subramonian, Anaelia Ovalle, Zongyu Lin, Ashima Suvarna, Christina Chance, Hritik Bansal, Rebecca Pattichis, Kai-Wei Chang:
Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation. CoRR abs/2404.01030 (2024) - [i222]Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang:
Event Detection from Social Media for Epidemic Prediction. CoRR abs/2404.01679 (2024) - [i221]Jooyoung Lee, Fan Yang, Thanh Tran, Qian Hu, Emre Barut, Kai-Wei Chang, Chengwei Su:
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought. CoRR abs/2404.03414 (2024) - [i220]Hritik Bansal, Po-Nien Kung, P. Jeffrey Brantingham, Kai-Wei Chang, Nanyun Peng:
GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling. CoRR abs/2404.04763 (2024) - [i219]Masoud Monajatipoor, Jiaxin Yang, Joel Stremmel, Melika Emami, Fazlolah Mohaghegh, Mozhdeh Rouhsedaghat, Kai-Wei Chang:
LLMs in Biomedicine: A study on clinical Named Entity Recognition. CoRR abs/2404.07376 (2024) - [i218]Yixin Wan, Kai-Wei Chang:
White Men Lead, Black Women Help: Uncovering Gender, Racial, and Intersectional Bias in Language Agency. CoRR abs/2404.10508 (2024) - [i217]Masoud Monajatipoor, Zi-Yi Dou, Aichi Chien, Nanyun Peng, Kai-Wei Chang:
Medical Vision-Language Pre-Training for Brain Abnormalities. CoRR abs/2404.17779 (2024) - [i216]Hritik Bansal, Yonatan Bitton, Michal Yarom, Idan Szpektor, Aditya Grover, Kai-Wei Chang:
TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation. CoRR abs/2405.04682 (2024) - [i215]Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck:
Semantic Loss Functions for Neuro-Symbolic Structured Prediction. CoRR abs/2405.07387 (2024) - [i214]Junzhang Liu, Zhecan Wang, Hammad A. Ayyubi, Haoxuan You, Christopher Thomas, Rui Sun, Shih-Fu Chang, Kai-Wei Chang:
Detecting Multimodal Situations with Insufficient Context and Abstaining from Baseless Predictions. CoRR abs/2405.11145 (2024) - [i213]Wenbo Hu, Zi-Yi Dou, Liunian Harold Li, Amita Kamath, Nanyun Peng, Kai-Wei Chang:
Matryoshka Query Transformer for Large Vision-Language Models. CoRR abs/2405.19315 (2024) - [i212]Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, James Zou, Kai-Wei Chang, Wei Wang:
Enhancing Large Vision Language Models with Self-Training on Image Comprehension. CoRR abs/2405.19716 (2024) - [i211]Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng:
Reflection-Reinforced Self-Training for Language Agents. CoRR abs/2406.01495 (2024) - [i210]Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover:
VideoPhy: Evaluating Physical Commonsense for Video Generation. CoRR abs/2406.03520 (2024) - [i209]Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen:
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. CoRR abs/2406.09411 (2024) - [i208]Haike Xu, Zongyu Lin, Yizhou Sun, Kai-Wei Chang, Piotr Indyk:
SparseCL: Sparse Contrastive Learning for Contradiction Retrieval. CoRR abs/2406.10746 (2024) - [i207]Xueqing Wu, Zongyu Lin, Songyan Zhao, Te-Lin Wu, Pan Lu, Nanyun Peng, Kai-Wei Chang:
VDebugger: Harnessing Execution Feedback for Debugging Visual Programs. CoRR abs/2406.13444 (2024) - [i206]Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang:
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation. CoRR abs/2406.13692 (2024) - [i205]Shujin Wu, Yi R. Fung, Sha Li, Yixin Wan, Kai-Wei Chang, Heng Ji:
MACAROON: Training Vision-Language Models To Be Your Engaged Partners. CoRR abs/2406.14137 (2024) - [i204]Di Wu, Xiaoxian Shen, Kai-Wei Chang:
MetaKP: On-Demand Keyphrase Generation. CoRR abs/2407.00191 (2024) - [i203]Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang:
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention. CoRR abs/2407.00377 (2024) - [i202]Cheng-Yi Li, Kao-Jung Chang, Cheng-Fu Yang, Hsin-Yu Wu, Wenting Chen, Hritik Bansal, Ling Chen, Yi-Ping Yang, Yu-Chun Chen, Shih-Pin Chen, Jiing-Feng Lirng, Kai-Wei Chang, Shih-Hwa Chiou:
Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report Generation. CoRR abs/2407.02235 (2024) - [i201]Silin Meng, Yiwei Wang, Cheng-Fu Yang, Nanyun Peng, Kai-Wei Chang:
LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning. CoRR abs/2407.02511 (2024) - [i200]Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan:
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. CoRR abs/2407.21358 (2024) - [i199]Ashima Suvarna, Xiao Liu, Tanmay Parekh, Kai-Wei Chang, Nanyun Peng:
QUDSELECT: Selective Decoding for Questions Under Discussion Parsing. CoRR abs/2408.01046 (2024) - [i198]Kai-Wei Chang, Haibin Wu, Yu-Kai Wang, Yuan-Kuei Wu, Hua Shen, Wei-Cheng Tseng, Iu-thing Kang, Shang-Wen Li, Hung-yi Lee:
SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks. CoRR abs/2408.13040 (2024) - [i197]Cheng Wang, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang:
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding. CoRR abs/2409.03363 (2024) - [i196]Zhecan Wang, Junzhang Liu, Chia-Wei Tang, Hani Alomari, Anushka Sivakumar, Rui Sun, Wenhao Li, Md. Atabuzzaman, Hammad A. Ayyubi, Haoxuan You, Alvi Md. Ishmam, Kai-Wei Chang, Shih-Fu Chang, Chris Thomas:
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images. CoRR abs/2409.12953 (2024) - [i195]Haibin Wu, Xuanjun Chen, Yi-Cheng Lin, Kai-Wei Chang, Jiawei Du, Ke-Han Lu, Alexander H. Liu, Ho-Lam Chung, Yuan-Kuei Wu, Dongchao Yang, Songxiang Liu, Yi-Chiao Wu, Xu Tan, James R. Glass, Shinji Watanabe, Hung-yi Lee:
Codec-SUPERB @ SLT 2024: A lightweight benchmark for neural audio codec models. CoRR abs/2409.14085 (2024) - [i194]Bingxuan Li, Yiwei Wang, Tao Meng, Kai-Wei Chang, Nanyun Peng:
Control Large Language Models via Divide and Conquer. CoRR abs/2410.04628 (2024) - [i193]Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan:
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models. CoRR abs/2410.05269 (2024) - [i192]Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris:
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification. CoRR abs/2410.05559 (2024) - [i191]Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou, Mohsen Fayyaz, Pan Lu, Kai-Wei Chang, Nanyun Peng:
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models. CoRR abs/2410.08182 (2024) - [i190]Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu:
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory. CoRR abs/2410.10813 (2024) - 2023
- [c191]Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang:
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English. ACL (2) 2023: 352-365 - [c190]Masoud Monajatipoor, Liunian Harold Li, Mozhdeh Rouhsedaghat, Lin Yang, Kai-Wei Chang:
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models. ACL (2) 2023: 495-508 - [c189]Rui Sun, Zhecan Wang, Haoxuan You, Noel Codella, Kai-Wei Chang, Shih-Fu Chang:
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding. ACL (Findings) 2023: 778-793 - [c188]Nikil Roashan Selvam, Sunipa Dev, Daniel Khashabi, Tushar Khot, Kai-Wei Chang:
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks. ACL (2) 2023: 1373-1386 - [c187]Wasi Uddin Ahmad, Md Golam Rahman Tushar, Saikat Chakraborty, Kai-Wei Chang:
AVATAR: A Parallel Corpus for Java-Python Program Translation. ACL (Findings) 2023: 2268-2281 - [c186]Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi:
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. ACL (1) 2023: 2665-2679 - [c185]Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng:
GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles. ACL (1) 2023: 3664-3686 - [c184]Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan:
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation. ACL (1) 2023: 8047-8061 - [c183]Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang:
Efficient Shapley Values Estimation by Amortization for Text Classification. ACL (1) 2023: 8666-8680 - [c182]Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang:
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation. ACL (Findings) 2023: 10372-10380 - [c181]Zixuan Ling, Xiaoqing Zheng, Jianhan Xu, Jinshu Lin, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang:
Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations. ACL (Findings) 2023: 11454-11465 - [c180]I-Hung Hsu, Kuan-Hao Huang, Shuning Zhang, Wenxin Cheng, Prem Natarajan, Kai-Wei Chang, Nanyun Peng:
TAGPRIME: A Unified Framework for Relational Structure Extraction. ACL (1) 2023: 12917-12932 - [c179]Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta:
Resolving Ambiguities in Text-to-Image Generative Models. ACL (1) 2023: 14367-14388 - [c178]Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang:
A Survey of Deep Learning for Mathematical Reasoning. ACL (1) 2023: 14605-14631 - [c177]Wenpeng Yin, Muhao Chen, Ben Zhou, Qiang Ning, Kai-Wei Chang, Dan Roth:
Indirectly Supervised Natural Language Processing. ACL (tutorial) 2023: 32-40 - [c176]Anaelia Ovalle, Arjun Subramonian, Vagrant Gautam, Gilbert Gee, Kai-Wei Chang:
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness. AIES 2023: 496-511 - [c175]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
Semantic Strengthening of Neuro-Symbolic Learning. AISTATS 2023: 10252-10261 - [c174]Kai-Wei Chang, Ming-Hsin Chen, Yun-Ping Lin, Jing Neng Hsu, Paul Kuo-Ming Huang, Chien-Yu Huang, Shang-Wen Li, Hung-Yi Lee:
Prompting and Adapter Tuning For Self-Supervised Encoder-Decoder Speech Model. ASRU 2023: 1-8 - [c173]Chun-Yi Kuan, Chen-An Li, Tsu-Yuan Hsu, Tse-Yang Lin, Ho-Lam Chung, Kai-Wei Chang, Shuo-Yiin Chang, Hung-Yi Lee:
Towards General-Purpose Text-Instruction-Guided Voice Conversion. ASRU 2023: 1-8 - [c172]Yu-Hsiang Wang, Huang-Yu Chen, Kai-Wei Chang, Winston H. Hsu, Hung-Yi Lee:
Minisuperb: Lightweight Benchmark for Self-Supervised Speech Models. ASRU 2023: 1-8 - [c171]Alexander Kwako, Yixin Wan, Jieyu Zhao, Mark Hansen, Kai-Wei Chang, Li Cai:
Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment? BEA@ACL 2023: 668-681 - [c170]Da Yin, Feng Gao, Govind Thattai, Michael Johnston, Kai-Wei Chang:
GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods. CVPR 2023: 10951-10961 - [c169]Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi:
Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CVPR 2023: 23369-23379 - [c168]Md. Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang:
Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies. EACL 2023: 201-210 - [c167]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages. EACL 2023: 1520-1534 - [c166]Cheng-Fu Yang, Yen-Chun Chen, Jianwei Yang, Xiyang Dai, Lu Yuan, Yu-Chiang Frank Wang, Kai-Wei Chang:
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following. EMNLP 2023: 1203-1217 - [c165]Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng:
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks. EMNLP 2023: 1813-1829 - [c164]Yixin Wan, George Pu, Jiao Sun, Aparna Garimella, Kai-Wei Chang, Nanyun Peng:
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters. EMNLP (Findings) 2023: 3730-3748 - [c163]Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang:
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. EMNLP 2023: 4031-4047 - [c162]Amita Kamath, Jack Hessel, Kai-Wei Chang:
Text encoders bottleneck compositionality in contrastive vision-language models. EMNLP 2023: 4933-4944 - [c161]Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang:
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models. EMNLP 2023: 6642-6658 - [c160]Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang:
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond. EMNLP (Findings) 2023: 8598-8617 - [c159]Amita Kamath, Jack Hessel, Kai-Wei Chang:
What's "up" with vision-language models? Investigating their struggle with spatial reasoning. EMNLP 2023: 9161-9175 - [c158]Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, Kai-Wei Chang:
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems. EMNLP (Findings) 2023: 9677-9705 - [c157]Haoxuan You, Rui Sun, Zhecan Wang, Long Chen, Gengyu Wang, Hammad A. Ayyubi, Kai-Wei Chang, Shih-Fu Chang:
IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models. EMNLP (Findings) 2023: 11289-11303 - [c156]Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta:
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. FAccT 2023: 1246-1266 - [c155]Kuan-Po Huang, Tzu-hsun Feng, Yu-Kuan Fu, Tsu-Yuan Hsu, Po-Chieh Yen, Wei-Cheng Tseng, Kai-Wei Chang, Hung-Yi Lee:
Ensemble Knowledge Distillation of Self-Supervised Speech Models. ICASSP 2023: 1-5 - [c154]Hritik Bansal, Fan Yin, Nishad Singhi, Aditya Grover, Yu Yang, Kai-Wei Chang:
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. ICCV 2023: 112-123 - [c153]Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan:
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. ICLR 2023 - [c152]Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck:
On the Paradox of Learning to Reason from Data. IJCAI 2023: 3365-3373 - [c151]Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen:
Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer. IJCNLP (2) 2023: 1-9 - [c150]Yixin Wan, Yuan Zhou, Xiulian Peng, Kai-Wei Chang, Yan Lu:
ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression. INTERSPEECH 2023: 2528-2532 - [c149]Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari:
Semantic Probabilistic Layers for Neuro-Symbolic Learning. NeSy 2023: 413 - [c148]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints. NeurIPS 2023 - [c147]Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi:
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent. NeurIPS 2023 - [c146]Liunian Harold Li, Zi-Yi Dou, Nanyun Peng, Kai-Wei Chang:
DesCo: Learning Object Recognition with Rich Language Descriptions. NeurIPS 2023 - [c145]Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao:
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. NeurIPS 2023 - [c144]Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan:
Incorporating Fairness in Large Scale NLU Systems. WSDM 2023: 1289-1290 - [p1]Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck:
Semantic Loss Functions for Neuro-Symbolic Structured Prediction. Compendium of Neurosymbolic Artificial Intelligence 2023: 485-505 - [i189]Da Yin, Feng Gao, Govind Thattai, Michael Johnston, Kai-Wei Chang:
GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods. CoRR abs/2301.01893 (2023) - [i188]Kuan-Po Huang, Tzu-hsun Feng, Yu-Kuan Fu, Tsu-Yuan Hsu, Po-Chieh Yen, Wei-Cheng Tseng, Kai-Wei Chang, Hung-yi Lee:
Ensemble knowledge distillation of self-supervised speech models. CoRR abs/2302.12757 (2023) - [i187]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
Semantic Strengthening of Neuro-Symbolic Learning. CoRR abs/2302.14207 (2023) - [i186]Kai-Wei Chang, Yu-Kai Wang, Hua Shen, Iu-thing Kang, Wei-Cheng Tseng, Shang-Wen Li, Hung-yi Lee:
SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks. CoRR abs/2303.00733 (2023) - [i185]Hritik Bansal, Nishad Singhi, Yu Yang, Fan Yin, Aditya Grover, Kai-Wei Chang:
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. CoRR abs/2303.03323 (2023) - [i184]Haoxuan You, Mandy Guo, Zhecan Wang, Kai-Wei Chang, Jason Baldridge, Jiahui Yu:
CoBIT: A Contrastive Bi-directional Image-Text Generation Model. CoRR abs/2303.13455 (2023) - [i183]Di Wu, Da Yin, Kai-Wei Chang:
KPEval: Towards Fine-grained Semantic-based Evaluation of Keyphrase Extraction and Generation Systems. CoRR abs/2303.15422 (2023) - [i182]Anaelia Ovalle, Arjun Subramonian, Vagrant Gautam, Gilbert Gee, Kai-Wei Chang:
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness. CoRR abs/2303.17555 (2023) - [i181]Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao:
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. CoRR abs/2304.09842 (2023) - [i180]Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta:
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. CoRR abs/2305.09941 (2023) - [i179]Oscar Chew, Kuan-Hao Huang, Kai-Wei Chang, Hsuan-Tien Lin:
Understanding and Mitigating Spurious Correlations in Text Classification. CoRR abs/2305.13654 (2023) - [i178]Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang:
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. CoRR abs/2305.14327 (2023) - [i177]Amita Kamath, Jack Hessel, Kai-Wei Chang:
Text encoders are performance bottlenecks in contrastive vision-language models. CoRR abs/2305.14897 (2023) - [i176]Haoxuan You, Rui Sun, Zhecan Wang, Long Chen, Gengyu Wang, Hammad A. Ayyubi, Kai-Wei Chang, Shih-Fu Chang:
IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models. CoRR abs/2305.14985 (2023) - [i175]Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan:
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation. CoRR abs/2305.16585 (2023) - [i174]Yixin Wan, Yuan Zhou, Xiulian Peng, Kai-Wei Chang, Yan Lu:
ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression. CoRR abs/2305.16665 (2023) - [i173]Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang:
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation. CoRR abs/2305.16701 (2023) - [i172]Yu-Hsiang Wang, Huang-Yu Chen, Kai-Wei Chang, Winston H. Hsu, Hung-yi Lee:
MiniSUPERB: Lightweight Benchmark for Self-supervised Speech Models. CoRR abs/2305.19011 (2023) - [i171]Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh:
Red Teaming Language Model Detectors with Language Models. CoRR abs/2305.19713 (2023) - [i170]Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang:
Efficient Shapley Values Estimation by Amortization for Text Classification. CoRR abs/2305.19998 (2023) - [i169]Masoud Monajatipoor, Liunian Harold Li, Mozhdeh Rouhsedaghat, Lin F. Yang, Kai-Wei Chang:
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models. CoRR abs/2306.01311 (2023) - [i168]Haibin Wu, Kai-Wei Chang, Yuan-Kuei Wu, Hung-yi Lee:
SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts. CoRR abs/2306.02207 (2023) - [i167]Anaelia Ovalle, Mehrab Beikzadeh, Parshan Teimouri, Kai-Wei Chang, Majid Sarrafzadeh:
ChatGPT for Us: Preserving Data Privacy in ChatGPT via Dialogue Text Ambiguation to Expand Mental Health Care Delivery. CoRR abs/2306.05552 (2023) - [i166]Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David A. Ross, Cordelia Schmid, Alireza Fathi:
AVIS: Autonomous Visual Information Seeking with Large Language Models. CoRR abs/2306.08129 (2023) - [i165]Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi:
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. CoRR abs/2306.14050 (2023) - [i164]Liunian Harold Li, Zi-Yi Dou, Nanyun Peng, Kai-Wei Chang:
DesCo: Learning Object Recognition with Rich Language Descriptions. CoRR abs/2306.14060 (2023) - [i163]Rui Sun, Zhecan Wang, Haoxuan You, Noel Codella, Kai-Wei Chang, Shih-Fu Chang:
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding. CoRR abs/2307.00862 (2023) - [i162]Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta:
FLIRT: Feedback Loop In-context Red Teaming. CoRR abs/2308.04265 (2023) - [i161]Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng:
Contextual Label Projection for Cross-Lingual Structure Extraction. CoRR abs/2309.08943 (2023) - [i160]Chien-yu Huang, Ke-Han Lu, Shih-Heng Wang, Chi-Yuan Hsiao, Chun-Yi Kuan, Haibin Wu, Siddhant Arora, Kai-Wei Chang, Jiatong Shi, Yifan Peng, Roshan S. Sharma, Shinji Watanabe, Bhiksha Ramakrishnan, Shady Shehata, Hung-yi Lee:
Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech. CoRR abs/2309.09510 (2023) - [i159]Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen:
Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer. CoRR abs/2309.10891 (2023) - [i158]Chun-Yi Kuan, Chen-An Li, Tsu-Yuan Hsu, Tse-Yang Lin, Ho-Lam Chung, Kai-Wei Chang, Shuo-Yiin Chang, Hung-yi Lee:
Towards General-Purpose Text-Instruction-Guided Voice Conversion. CoRR abs/2309.14324 (2023) - [i157]Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao:
MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models. CoRR abs/2310.02255 (2023) - [i156]Kai-Wei Chang, Ming-Hsin Chen, Yun-Ping Lin, Jing Neng Hsu, Paul Kuo-Ming Huang, Chien-Yu Huang, Shang-Wen Li, Hung-yi Lee:
Prompting and Adapter Tuning for Self-supervised Encoder-Decoder Speech Model. CoRR abs/2310.02971 (2023) - [i155]Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, Kai-Wei Chang:
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems. CoRR abs/2310.05280 (2023) - [i154]Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang:
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models. CoRR abs/2310.06374 (2023) - [i153]Mingyu Derek Ma, Jiun-Yu Kao, Arpit Gupta, Yu-Hsiang Lin, Wenbo Zhao, Tagyoung Chung, Wei Wang, Kai-Wei Chang, Nanyun Peng:
Mitigating Bias for Question Answering Models by Tracking Bias Influence. CoRR abs/2310.08795 (2023) - [i152]Yixin Wan, George Pu, Jiao Sun, Aparna Garimella, Kai-Wei Chang, Nanyun Peng:
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters. CoRR abs/2310.09219 (2023) - [i151]Christina Chance, Da Yin, Dakuo Wang, Kai-Wei Chang:
Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts. CoRR abs/2310.10865 (2023) - [i150]Cheng-Fu Yang, Yen-Chun Chen, Jianwei Yang, Xiyang Dai, Lu Yuan, Yu-Chiang Frank Wang, Kai-Wei Chang:
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following. CoRR abs/2310.12344 (2023) - [i149]Ming-Hao Hsu, Kai-Wei Chang, Shang-Wen Li, Hung-yi Lee:
An Exploration of In-Context Learning for Speech Language Model. CoRR abs/2310.12477 (2023) - [i148]Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang:
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond. CoRR abs/2310.14670 (2023) - [i147]Amita Kamath, Jack Hessel, Kai-Wei Chang:
What's "up" with vision-language models? Investigating their struggle with spatial reasoning. CoRR abs/2310.19785 (2023) - [i146]Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng:
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks. CoRR abs/2311.00288 (2023) - [i145]Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta:
On the steerability of large language models toward data-driven personas. CoRR abs/2311.04978 (2023) - [i144]Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin:
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs. CoRR abs/2311.05657 (2023) - [i143]Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta:
JAB: Joint Adversarial Prompting and Belief Augmentation. CoRR abs/2311.09473 (2023) - [i142]Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji:
A Reevaluation of Event Extraction: Past, Present, and Future Challenges. CoRR abs/2311.09562 (2023) - [i141]Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover:
VideoCon: Robust Video-Language Alignment via Contrast Captions. CoRR abs/2311.10111 (2023) - [i140]Cheng-Fu Yang, Haoyang Xu, Te-Lin Wu, Xiaofeng Gao, Kai-Wei Chang, Feng Gao:
Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty. CoRR abs/2312.01097 (2023) - [i139]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints. CoRR abs/2312.03905 (2023) - [i138]Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta:
Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity. CoRR abs/2312.11779 (2023) - 2022
- [c143]Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang:
SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning. AAAI 2022: 5914-5922 - [c142]Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh:
PYLON: A PyTorch Framework for Learning with Constraints. AAAI 2022: 13152-13154 - [c141]Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan:
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. ACL (2) 2022: 561-570 - [c140]Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan:
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. ACL (Findings) 2022: 658-678 - [c139]Jianhan Xu, Cenyuan Zhang, Xiaoqing Zheng, Linyang Li, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang:
Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples. ACL (Findings) 2022: 1694-1707 - [c138]Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang:
On the Sensitivity and Stability of Model Interpretations in NLP. ACL (1) 2022: 2631-2647 - [c137]Cenyuan Zhang, Xiang Zhou, Yixin Wan, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh:
Improving the Adversarial Robustness of NLP Models by Information Bottleneck. ACL (Findings) 2022: 3588-3598 - [c136]Kuan-Hao Huang, I-Hung Hsu, Prem Natarajan, Kai-Wei Chang, Nanyun Peng:
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction. ACL (1) 2022: 4633-4646 - [c135]Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang:
Measuring Fairness of Text Classifiers via Prediction Sensitivity. ACL (1) 2022: 5830-5842 - [c134]Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao:
Grounded Language-Image Pre-training. CVPR 2022: 10955-10965 - [c133]Di Wu, Wasi Uddin Ahmad, Sunipa Dev, Kai-Wei Chang:
Representation Learning for Resource-Constrained Keyphrase Generation. EMNLP (Findings) 2022: 700-716 - [c132]Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang:
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? EMNLP 2022: 1358-1370 - [c131]Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan:
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations. EMNLP (Findings) 2022: 1547-1554 - [c130]Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang:
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. EMNLP (Findings) 2022: 1634-1640 - [c129]Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang:
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. EMNLP 2022: 2039-2055 - [c128]Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian:
Conditional Supervised Contrastive Learning for Fair Text Classification. EMNLP (Findings) 2022: 2736-2756 - [c127]Haoxuan You, Rui Sun, Zhecan Wang, Kai-Wei Chang, Shih-Fu Chang:
Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding. EMNLP (Findings) 2022: 5444-5454 - [c126]Fan Yin, Yao Li, Cho-Jui Hsieh, Kai-Wei Chang:
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation. EMNLP 2022: 6567-6584 - [c125]Jianhan Xu, Linyang Li, Jiping Zhang, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang:
Weight Perturbation as Defense against Adversarial Word Substitutions. EMNLP (Findings) 2022: 7054-7063 - [c124]Zhecan Wang, Haoxuan You, Yicheng He, Wenhao Li, Kai-Wei Chang, Shih-Fu Chang:
Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense. EMNLP 2022: 9212-9224 - [c123]Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun:
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. EMNLP 2022: 9562-9581 - [c122]Chien-yu Huang, Kai-Wei Chang, Hung-Yi Lee:
Toward Degradation-Robust Voice Conversion. ICASSP 2022: 6777-6781 - [c121]Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer:
How Much Can CLIP Benefit Vision-and-Language Tasks? ICLR 2022 - [c120]Sunipa Dev, Emily Sheng, Jieyu Zhao, Aubrie Amstutz, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang:
On Measures of Biases and Harms in NLP. AACL/IJCNLP (Findings) 2022: 246-267 - [c119]Kai-Wei Chang, Wei-Cheng Tseng, Shang-Wen Li, Hung-yi Lee:
An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks. INTERSPEECH 2022: 5005-5009 - [c118]Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, C.-C. Jay Kuo, Aichi Chien, Kai-Wei Chang:
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. MICCAI (5) 2022: 725-734 - [c117]Vijit Malik, Sunipa Dev, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang:
Socially Aware Bias Measurements for Hindi Language Representations. NAACL-HLT 2022: 1041-1052 - [c116]I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng:
DEGREE: A Data-Efficient Generation-Based Event Extraction Model. NAACL-HLT 2022: 1890-1908 - [c115]Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari:
Semantic Probabilistic Layers for Neuro-Symbolic Learning. NeurIPS 2022 - [c114]Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan:
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. NeurIPS 2022 - [c113]Tao Meng, Sidi Lu, Nanyun Peng, Kai-Wei Chang:
Controllable Text Generation with Neurally-Decomposed Oracle. NeurIPS 2022 - [c112]Arjun Subramonian, Kai-Wei Chang, Yizhou Sun:
On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs. NeurIPS 2022 - [c111]Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan:
An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. SLT 2022: 655-662 - [c110]Tzu-hsun Feng, Shuyan Annie Dong, Ching-Feng Yeh, Shu-Wen Yang, Tzu-Quan Lin, Jiatong Shi, Kai-Wei Chang, Zili Huang, Haibin Wu, Xuankai Chang, Shinji Watanabe, Abdelrahman Mohamed, Shang-Wen Li, Hung-yi Lee:
Superb @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning. SLT 2022: 1096-1103 - [c109]Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck:
Neuro-symbolic entropy regularization. UAI 2022: 43-53 - [i137]Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck:
Neuro-Symbolic Entropy Regularization. CoRR abs/2201.11250 (2022) - [i136]Da Yin, Li Dong, Hao Cheng, Xiaodong Liu, Kai-Wei Chang, Furu Wei, Jianfeng Gao:
A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models. CoRR abs/2202.08772 (2022) - [i135]Di Wu, Wasi Uddin Ahmad, Sunipa Dev, Kai-Wei Chang:
Representation Learning for Resource-Constrained Keyphrase Generation. CoRR abs/2203.08118 (2022) - [i134]Kuan-Hao Huang, I-Hung Hsu, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng:
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction. CoRR abs/2203.08308 (2022) - [i133]Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang:
Measuring Fairness of Text Classifiers via Prediction Sensitivity. CoRR abs/2203.08670 (2022) - [i132]Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan:
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. CoRR abs/2203.12574 (2022) - [i131]Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan:
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. CoRR abs/2203.13928 (2022) - [i130]Kai-Wei Chang, Wei-Cheng Tseng, Shang-Wen Li, Hung-yi Lee:
An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks. CoRR abs/2203.16773 (2022) - [i129]Md. Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang:
Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies. CoRR abs/2204.08952 (2022) - [i128]Zhecan Wang, Noel Codella, Yen-Chun Chen, Luowei Zhou, Xiyang Dai, Bin Xiao, Jianwei Yang, Haoxuan You, Kai-Wei Chang, Shih-Fu Chang, Lu Yuan:
Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks. CoRR abs/2204.10496 (2022) - [i127]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages. CoRR abs/2205.11116 (2022) - [i126]Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian:
Conditional Supervised Contrastive Learning for Fair Text Classification. CoRR abs/2205.11485 (2022) - [i125]Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck:
On the Paradox of Learning to Reason from Data. CoRR abs/2205.11502 (2022) - [i124]Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang:
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. CoRR abs/2205.12247 (2022) - [i123]Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng:
GENEVA: Pushing the Limit of Generalizability for Event Argument Extraction with 100+ Event Types. CoRR abs/2205.12505 (2022) - [i122]I-Hung Hsu, Kuan-Hao Huang, Shuning Zhang, Wenxin Cheng, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng:
A Simple and Unified Tagging Model with Priming for Relational Structure Predictions. CoRR abs/2205.12585 (2022) - [i121]Jingnong Qu, Liunian Harold Li, Jieyu Zhao, Sunipa Dev, Kai-Wei Chang:
DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation. CoRR abs/2205.12617 (2022) - [i120]Tao Meng, Sidi Lu, Nanyun Peng, Kai-Wei Chang:
Controllable Text Generation with Neurally-Decomposed Oracle. CoRR abs/2205.14219 (2022) - [i119]Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari:
Semantic Probabilistic Layers for Neuro-Symbolic Learning. CoRR abs/2206.00426 (2022) - [i118]Cenyuan Zhang, Xiang Zhou, Yixin Wan, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh:
Improving the Adversarial Robustness of NLP Models by Information Bottleneck. CoRR abs/2206.05511 (2022) - [i117]Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan:
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. CoRR abs/2209.09513 (2022) - [i116]Mozhdeh Rouhsedaghat, Masoud Monajatipoor, Kai-Wei Chang, C.-C. Jay Kuo, Iacopo Masi:
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier. CoRR abs/2209.11549 (2022) - [i115]Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan:
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. CoRR abs/2209.14610 (2022) - [i114]Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan:
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. CoRR abs/2210.03826 (2022) - [i113]Chenxi Gu, Chengsong Huang, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh:
Watermarking Pre-trained Language Models with Backdooring. CoRR abs/2210.07543 (2022) - [i112]Tzu-hsun Feng, Shuyan Annie Dong, Ching-Feng Yeh, Shu-Wen Yang, Tzu-Quan Lin, Jiatong Shi, Kai-Wei Chang, Zili Huang, Haibin Wu, Xuankai Chang, Shinji Watanabe, Abdelrahman Mohamed, Shang-Wen Li, Hung-yi Lee:
SUPERB @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning. CoRR abs/2210.08634 (2022) - [i111]Nikil Roashan Selvam, Sunipa Dev, Daniel Khashabi, Tushar Khot, Kai-Wei Chang:
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks. CoRR abs/2210.10040 (2022) - [i110]Fan Yin, Yao Li, Cho-Jui Hsieh, Kai-Wei Chang:
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation. CoRR abs/2210.12396 (2022) - [i109]Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang:
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? CoRR abs/2210.15230 (2022) - [i108]Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang:
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. CoRR abs/2210.16298 (2022) - [i107]Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan:
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations. CoRR abs/2211.00881 (2022) - [i106]Zhecan Wang, Haoxuan You, Yicheng He, Wenhao Li, Kai-Wei Chang, Shih-Fu Chang:
Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense. CoRR abs/2211.05895 (2022) - [i105]Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun:
Empowering Language Models with Knowledge Graph Reasoning for Question Answering. CoRR abs/2211.08380 (2022) - [i104]Anaelia Ovalle, Sunipa Dev, Jieyu Zhao, Majid Sarrafzadeh, Kai-Wei Chang:
Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN. CoRR abs/2211.08742 (2022) - [i103]Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta:
Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models. CoRR abs/2211.12503 (2022) - [i102]Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi:
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CoRR abs/2212.05221 (2022) - [i101]Haoxuan You, Rui Sun, Zhecan Wang, Kai-Wei Chang, Shih-Fu Chang:
Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding. CoRR abs/2212.06971 (2022) - [i100]Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang:
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English. CoRR abs/2212.10011 (2022) - [i99]Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang:
Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study. CoRR abs/2212.10233 (2022) - [i98]Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang:
A Survey of Deep Learning for Mathematical Reasoning. CoRR abs/2212.10535 (2022) - 2021
- [c108]Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang:
GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction. AAAI 2021: 12462-12470 - [c107]Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference. AAAI 2021: 14647-14655 - [c106]Wasi Uddin Ahmad, Xiao Bai, Soomin Lee, Kai-Wei Chang:
Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention. ACL/IJCNLP (1) 2021: 1389-1404 - [c105]Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang:
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification. ACL/IJCNLP (Findings) 2021: 3320-3331 - [c104]Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang:
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ACL/IJCNLP (Findings) 2021: 4158-4164 - [c103]Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng:
Societal Biases in Language Generation: Progress and Challenges. ACL/IJCNLP (1) 2021: 4275-4293 - [c102]Wasi Uddin Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang:
Intent Classification and Slot Filling for Privacy Policies. ACL/IJCNLP (1) 2021: 4402-4417 - [c101]Wasi Uddin Ahmad, Haoran Li, Kai-Wei Chang, Yashar Mehdad:
Syntax-augmented Multilingual BERT for Cross-lingual Transfer. ACL/IJCNLP (1) 2021: 4538-4554 - [c100]Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang:
Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble. ACL/IJCNLP (1) 2021: 5482-5492 - [c99]Kuan-Hao Huang, Kai-Wei Chang:
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs. EACL 2021: 1022-1033 - [c98]Liping Yuan, Xiaoqing Zheng, Yi Zhou, Cho-Jui Hsieh, Kai-Wei Chang:
On the Transferability of Adversarial Attacks against Neural Text Classifier. EMNLP (1) 2021: 1612-1625 - [c97]Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang:
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training. EMNLP (1) 2021: 1684-1697 - [c96]Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang:
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. EMNLP (1) 2021: 1968-1994 - [c95]Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, Kai-Wei Chang:
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning. EMNLP (1) 2021: 2115-2129 - [c94]Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Retrieval Augmented Code Generation and Summarization. EMNLP (Findings) 2021: 2719-2734 - [c93]Zongyi Li, Jianhan Xu, Jiehang Zeng, Linyang Li, Xiaoqing Zheng, Qi Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. EMNLP (1) 2021: 3137-3147 - [c92]Ziniu Hu, Yizhou Sun, Kai-Wei Chang:
Relation-Guided Pre-Training for Open-Domain Question Answering. EMNLP (Findings) 2021: 3431-3448 - [c91]Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta:
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. FAccT 2021: 862-872 - [c90]Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C.-C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang:
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. ICCVW 2021: 3327-3336 - [c89]Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
CREATe: Clinical Report Extraction and Annotation Technology. ICDE 2021: 2677-2680 - [c88]Tao Meng, Kai-Wei Chang:
An Integer Linear Programming Framework for Mining Constraints from Data. ICML 2021: 7619-7631 - [c87]Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng:
"Nice Try, Kiddo": Investigating Ad Hominems in Dialogue Responses. NAACL-HLT 2021: 750-767 - [c86]James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang:
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models. NAACL-HLT 2021: 1372-1379 - [c85]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Unified Pre-training for Program Understanding and Generation. NAACL-HLT 2021: 2655-2668 - [c84]Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation. NAACL-HLT 2021: 3899-3916 - [c83]Ankith Uppunda, Susan D. Cochran, Jacob G. Foster, Alina Arseniev-Koehler, Vickie M. Mays, Kai-Wei Chang:
Adapting Coreference Resolution for Processing Violent Death Narratives. NAACL-HLT 2021: 4553-4559 - [c82]Md. Rizwan Parvez, Kai-Wei Chang:
Evaluating the Values of Sources in Transfer Learning. NAACL-HLT 2021: 5084-5116 - [c81]Liunian Harold Li, Haoxuan You, Zhecan Wang, Alireza Zareian, Shih-Fu Chang, Kai-Wei Chang:
Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions. NAACL-HLT 2021: 5339-5350 - [c80]Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh:
Pylon: A PyTorch Framework for Learning with Constraints. NeurIPS (Competition and Demos) 2021: 319-324 - [i97]Wasi Uddin Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang:
Intent Classification and Slot Filling for Privacy Policies. CoRR abs/2101.00123 (2021) - [i96]Kuan-Hao Huang, Kai-Wei Chang:
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs. CoRR abs/2101.10579 (2021) - [i95]Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta:
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. CoRR abs/2101.11718 (2021) - [i94]Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
CREATe: Clinical Report Extraction and Annotation Technology. CoRR abs/2103.00562 (2021) - [i93]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Unified Pre-training for Program Understanding and Generation. CoRR abs/2103.06333 (2021) - [i92]Kareem Ahmed, Eric Wang, Guy Van den Broeck, Kai-Wei Chang:
Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction. CoRR abs/2103.11062 (2021) - [i91]James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang:
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models. CoRR abs/2104.05115 (2021) - [i90]Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation. CoRR abs/2104.05232 (2021) - [i89]Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang:
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training. CoRR abs/2104.08645 (2021) - [i88]Emily Sheng, Josh Arnold, Zhou Yu, Kai-Wei Chang, Nanyun Peng:
Revealing Persona Biases in Dialogue Systems. CoRR abs/2104.08728 (2021) - [i87]Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang:
On the Faithfulness Measurements for Model Interpretations. CoRR abs/2104.08782 (2021) - [i86]Md. Rizwan Parvez, Kai-Wei Chang:
Evaluating the Values of Sources in Transfer Learning. CoRR abs/2104.12567 (2021) - [i85]Ankith Uppunda, Susan D. Cochran, Jacob G. Foster, Alina Arseniev-Koehler, Vickie M. Mays, Kai-Wei Chang:
Adapting Coreference Resolution for Processing Violent Death Narratives. CoRR abs/2104.14703 (2021) - [i84]Yi-Chen Chen, Po-Han Chi, Shu-Wen Yang, Kai-Wei Chang, Jheng-Hao Lin, Sung-Feng Huang, Da-Rong Liu, Chi-Liang Liu, Cheng-Kuang Lee, Hung-yi Lee:
SpeechNet: A Universal Modularized Model for Speech Processing Tasks. CoRR abs/2105.03070 (2021) - [i83]Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng:
Societal Biases in Language Generation: Progress and Challenges. CoRR abs/2105.04054 (2021) - [i82]Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang:
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? CoRR abs/2106.01465 (2021) - [i81]Wasi Uddin Ahmad, Haoran Li, Kai-Wei Chang, Yashar Mehdad:
Syntax-augmented Multilingual BERT for Cross-lingual Transfer. CoRR abs/2106.02134 (2021) - [i80]Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang:
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification. CoRR abs/2106.10826 (2021) - [i79]Yichao Zhou, Chelsea Ju, J. Harry Caufield, Kevin Shih, Calvin Yu-Chian Chen, Yizhou Sun, Kai-Wei Chang, Peipei Ping, Wei Wang:
Clinical Named Entity Recognition using Contextualized Token Representations. CoRR abs/2106.12608 (2021) - [i78]Alina Arseniev-Koehler, Susan D. Cochran, Vickie M. Mays, Kai-Wei Chang, Jacob Gates Foster:
Integrating topic modeling and word embedding to characterize violent deaths. CoRR abs/2106.14365 (2021) - [i77]Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer:
How Much Can CLIP Benefit Vision-and-Language Tasks? CoRR abs/2107.06383 (2021) - [i76]Sunipa Dev, Emily Sheng, Jieyu Zhao, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Nanyun Peng, Kai-Wei Chang:
What do Bias Measures Measure? CoRR abs/2108.03362 (2021) - [i75]Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C.-C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang:
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. CoRR abs/2108.04938 (2021) - [i74]Wasi Uddin Ahmad, Md Golam Rahman Tushar, Saikat Chakraborty, Kai-Wei Chang:
AVATAR: A Parallel Corpus for Java-Python Program Translation. CoRR abs/2108.11590 (2021) - [i73]Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Retrieval Augmented Code Generation and Summarization. CoRR abs/2108.11601 (2021) - [i72]Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang:
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. CoRR abs/2108.12084 (2021) - [i71]I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng:
Event Extraction as Natural Language Generation. CoRR abs/2108.12724 (2021) - [i70]Zongyi Li, Jianhan Xu, Jiehang Zeng, Linyang Li, Xiaoqing Zheng, Qi Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. CoRR abs/2108.12777 (2021) - [i69]Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, Kai-Wei Chang:
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning. CoRR abs/2109.06860 (2021) - [i68]Ziniu Hu, Yizhou Sun, Kai-Wei Chang:
Relation-Guided Pre-Training for Open-Domain Question Answering. CoRR abs/2109.10346 (2021) - [i67]Chien-yu Huang, Kai-Wei Chang, Hung-yi Lee:
Toward Degradation-Robust Voice Conversion. CoRR abs/2110.07537 (2021) - [i66]Vijit Malik, Sunipa Dev, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang:
Socially Aware Bias Measurements for Hindi Language Representations. CoRR abs/2110.07871 (2021) - [i65]Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao:
Grounded Language-Image Pre-training. CoRR abs/2112.03857 (2021) - [i64]Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang:
SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning. CoRR abs/2112.08587 (2021) - 2020
- [j14]Ching-Pei Lee, Kai-Wei Chang:
Distributed block-diagonal approximation methods for regularized empirical risk minimization. Mach. Learn. 109(4): 813-852 (2020) - [c79]Yuchen Jiang, Zhenxin Xiao, Kai-Wei Chang:
Learning Directional Sentence-Pair Embedding for Natural Language Reasoning (Student Abstract). AAAI 2020: 13825-13826 - [c78]Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang:
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. ACL 2020: 813-822 - [c77]Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, Ahmed Hassan Awadallah:
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer. ACL 2020: 2896-2907 - [c76]Shengyu Jia, Tao Meng, Jieyu Zhao, Kai-Wei Chang:
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization. ACL 2020: 2936-2942 - [c75]Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Towards Understanding Gender Bias in Relation Extraction. ACL 2020: 2943-2953 - [c74]Fan Yin, Quanyu Long, Tao Meng, Kai-Wei Chang:
On the Robustness of Language Encoders against Grammatical Errors. ACL 2020: 3386-3403 - [c73]Da Yin, Tao Meng, Kai-Wei Chang:
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics. ACL 2020: 3695-3706 - [c72]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
A Transformer-based Approach for Source Code Summarization. ACL 2020: 4998-5007 - [c71]Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang:
What Does BERT with Vision Look At? ACL 2020: 5265-5275 - [c70]Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, Kai-Wei Chang:
PolicyQA: A Reading Comprehension Dataset for Privacy Policies. EMNLP (Findings) 2020: 743-749 - [c69]Jieyu Zhao, Kai-Wei Chang:
LOGAN: Local Group Bias Detection by Clustering. EMNLP (1) 2020: 1968-1977 - [c68]Lu Liu, Yi Zhou, Jianhan Xu, Xiaoqing Zheng, Kai-Wei Chang, Xuanjing Huang:
Cross-Lingual Dependency Parsing by POS-Guided Word Reordering. EMNLP (Findings) 2020: 2938-2948 - [c67]Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng:
Towards Controllable Biases in Language Generation. EMNLP (Findings) 2020: 3239-3254 - [c66]Everett Fall, Kai-Wei Chang, Liang-Gee Chen:
Dynamically Expanded CNN Array for Video Coding. ICIGP 2020: 85-90 - [c65]Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh:
Robustness Verification for Transformers. ICLR 2020 - [c64]Kuan-Hao Huang, Chen Li, Kai-Wei Chang:
Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization. AACL/IJCNLP 2020: 609-615 - [c63]Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun:
GPT-GNN: Generative Pre-Training of Graph Neural Networks. KDD 2020: 1857-1867 - [c62]Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh:
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond. NeurIPS 2020 - [i63]Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh:
Robustness Verification for Transformers. CoRR abs/2002.06622 (2020) - [i62]Kaidi Xu, Zhouxing Shi, Huan Zhang, Minlie Huang, Kai-Wei Chang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh:
Automatic Perturbation Analysis on General Computational Graphs. CoRR abs/2002.12920 (2020) - [i61]Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang:
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. CoRR abs/2004.14457 (2020) - [i60]Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng:
Towards Controllable Biases in Language Generation. CoRR abs/2005.00268 (2020) - [i59]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
A Transformer-based Approach for Source Code Summarization. CoRR abs/2005.00653 (2020) - [i58]Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, Ahmed Hassan Awadallah:
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer. CoRR abs/2005.00699 (2020) - [i57]Da Yin, Tao Meng, Kai-Wei Chang:
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics. CoRR abs/2005.04114 (2020) - [i56]Fan Yin, Quanyu Long, Tao Meng, Kai-Wei Chang:
On the Robustness of Language Encoders against Grammatical Errors. CoRR abs/2005.05683 (2020) - [i55]Shengyu Jia, Tao Meng, Jieyu Zhao, Kai-Wei Chang:
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization. CoRR abs/2005.06251 (2020) - [i54]Tao Meng, Kai-Wei Chang:
An Integer Linear Programming Framework for Mining Constraints from Data. CoRR abs/2006.10836 (2020) - [i53]Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang:
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble. CoRR abs/2006.11627 (2020) - [i52]Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun:
GPT-GNN: Generative Pre-Training of Graph Neural Networks. CoRR abs/2006.15437 (2020) - [i51]Juan Carlo Rebanal, Yuqi Tang, Jordan Combitsis, Kai-Wei Chang, Xiang 'Anthony' Chen:
XAlgo: Explaining the Internal States of Algorithms via Question Answering. CoRR abs/2007.07407 (2020) - [i50]Wasi Uddin Ahmad, Xiao Bai, Soomin Lee, Kai-Wei Chang:
Select, Extract and Generate: Neural Keyphrase Generation with Syntactic Guidance. CoRR abs/2008.01739 (2020) - [i49]Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, Kai-Wei Chang:
PolicyQA: A Reading Comprehension Dataset for Privacy Policies. CoRR abs/2010.02557 (2020) - [i48]Jieyu Zhao, Kai-Wei Chang:
LOGAN: Local Group Bias Detection by Clustering. CoRR abs/2010.02867 (2020) - [i47]Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang:
GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction. CoRR abs/2010.03009 (2020) - [i46]Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng:
"Nice Try, Kiddo": Ad Hominems in Dialogue Systems. CoRR abs/2010.12820 (2020) - [i45]Liunian Harold Li, Haoxuan You, Zhecan Wang, Alireza Zareian, Shih-Fu Chang, Kai-Wei Chang:
Weakly-supervised VisualBERT: Pre-training without Parallel Images and Captions. CoRR abs/2010.12831 (2020) - [i44]Liping Yuan, Xiaoqing Zheng, Yi Zhou, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang:
Generating universal language adversarial examples by understanding and enhancing the transferability across neural models. CoRR abs/2011.08558 (2020) - [i43]Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference. CoRR abs/2012.08790 (2020)
2010 – 2019
- 2019
- [j13]Muhao Chen, Chelsea J.-T. Ju, Guangyu Zhou, Xuelu Chen, Tianran Zhang, Kai-Wei Chang, Carlo Zaniolo, Wei Wang:
Multifaceted protein-protein interaction prediction based on Siamese residual RCNN. Bioinform. 35(14): i305-i314 (2019) - [j12]Dat Duong, Wasi Uddin Ahmad, Eleazar Eskin, Kai-Wei Chang, Jingyi Jessica Li:
Word and Sentence Embedding Tools to Measure Semantic Similarity of Gene Ontology Terms by Their Definitions. J. Comput. Biol. 26(1): 38-52 (2019) - [j11]Liunian Harold Li, Patrick H. Chen, Cho-Jui Hsieh, Kai-Wei Chang:
Efficient Contextual Representation Learning With Continuous Outputs. Trans. Assoc. Comput. Linguistics 7: 611-624 (2019) - [c61]Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Mitigating Gender Bias in Natural Language Processing: Literature Review. ACL (1) 2019: 1630-1640 - [c60]Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun:
Few-Shot Representation Learning for Out-Of-Vocabulary Words. ACL (1) 2019: 4102-4112 - [c59]Muhao Chen, Yingtao Tian, Haochen Chen, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo:
Learning to Represent Bilingual Dictionaries. CoNLL 2019: 152-162 - [c58]Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Kai-Wei Chang, Nanyun Peng:
Cross-Lingual Dependency Parsing with Unlabeled Auxiliary Languages. CoNLL 2019: 372-382 - [c57]Kai-Wei Chang, Vinod Prabhakaran, Vicente Ordonez:
Bias and Fairness in Natural Language Processing. EMNLP/IJCNLP (2) 2019 - [c56]Chen Xia, Haoxiang Zhang, Jacob Moghtader, Allen Wu, Kai-Wei Chang:
Visualizing Trends of Key Roles in News Articles. EMNLP/IJCNLP (3) 2019: 247-252 - [c55]Tao Meng, Nanyun Peng, Kai-Wei Chang:
Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing. EMNLP/IJCNLP (1) 2019: 1117-1128 - [c54]Md. Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Saligrama:
Robust Text Classifier on Test-Time Budgets. EMNLP/IJCNLP (1) 2019: 1167-1172 - [c53]Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang:
Retrofitting Contextualized Word Embeddings with Paraphrases. EMNLP/IJCNLP (1) 2019: 1198-1203 - [c52]Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng:
The Woman Worked as a Babysitter: On Biases in Language Generation. EMNLP/IJCNLP (1) 2019: 3405-3410 - [c51]Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang:
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification. EMNLP/IJCNLP (1) 2019: 4903-4912 - [c50]Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang:
Examining Gender Bias in Languages with Grammatical Gender. EMNLP/IJCNLP (1) 2019: 5275-5283 - [c49]Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez:
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations. ICCV 2019: 5309-5318 - [c48]Zhubo Deng, Weijia Shi, Pei Zhou, Muhao Chen, Kai-Wei Chang:
Computational Analysis of French Reborrowing Process for English Loanwords. ICDM Workshops 2019: 1-4 - [c47]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Contextualized Word Embeddings. NAACL-HLT (1) 2019: 629-634 - [c46]Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Eduard H. Hovy, Kai-Wei Chang, Nanyun Peng:
On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing. NAACL-HLT (1) 2019: 2440-2452 - [c45]Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang:
Learning Bilingual Word Embeddings Using Lexical Definitions. RepL4NLP@ACL 2019: 142-147 - [c44]Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang:
Context Attentive Document Ranking and Query Suggestion. SIGIR 2019: 385-394 - [i42]Liunian Harold Li, Patrick H. Chen, Cho-Jui Hsieh, Kai-Wei Chang:
Efficient Contextual Representation Learning Without Softmax Layer. CoRR abs/1902.11269 (2019) - [i41]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Contextualized Word Embeddings. CoRR abs/1904.03310 (2019) - [i40]Everett Fall, Kai-Wei Chang, Liang-Gee Chen:
Dynamically Expanded CNN Array for Video Coding. CoRR abs/1905.04326 (2019) - [i39]Ziniu Hu, Changjun Fan, Ting Chen, Kai-Wei Chang, Yizhou Sun:
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction. CoRR abs/1905.13728 (2019) - [i38]Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang:
Context Attentive Document Ranking and Query Suggestion. CoRR abs/1906.02329 (2019) - [i37]Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang:
Learning Bilingual Word Embeddings Using Lexical Definitions. CoRR abs/1906.08939 (2019) - [i36]Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Mitigating Gender Bias in Natural Language Processing: Literature Review. CoRR abs/1906.08976 (2019) - [i35]Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun:
Few-Shot Representation Learning for Out-Of-Vocabulary Words. CoRR abs/1907.00505 (2019) - [i34]Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang:
VisualBERT: A Simple and Performant Baseline for Vision and Language. CoRR abs/1908.03557 (2019) - [i33]Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng:
The Woman Worked as a Babysitter: On Biases in Language Generation. CoRR abs/1909.01326 (2019) - [i32]Tao Meng, Nanyun Peng, Kai-Wei Chang:
Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing. CoRR abs/1909.01482 (2019) - [i31]Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang:
Examining Gender Bias in Languages with Grammatical Gender. CoRR abs/1909.02224 (2019) - [i30]Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang:
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification. CoRR abs/1909.03084 (2019) - [i29]Chen Xia, Haoxiang Zhang, Jacob Moghtader, Allen Wu, Kai-Wei Chang:
Visualizing Trends of Key Roles in News Articles. CoRR abs/1909.05449 (2019) - [i28]Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Kai-Wei Chang, Nanyun Peng:
Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages. CoRR abs/1909.09265 (2019) - [i27]Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang:
Retrofitting Contextualized Word Embeddings with Paraphrases. CoRR abs/1909.09700 (2019) - [i26]Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Towards Understanding Gender Bias in Relation Extraction. CoRR abs/1911.03642 (2019) - 2018
- [j10]Fu-Hau Hsu, Yanling Hwang, Kai-Wei Chang, Chia-Hao Lee, Chuan-Sheng Wang, Chuan-Kai Kao, Zhi-Yao Zhong:
Handover: A mechanism to improve the reliability and availability of network services for clients behind a network address translator. Comput. Electr. Eng. 67: 159-169 (2018) - [j9]Fu-Hau Hsu, Yanling Hwang, Chia-Hao Lee, Chieh-Ju Lin, Kai-Wei Chang, Chen-Chia Huang:
A Cloud-based Protection approach against JavaScript-based attacks to browsers. Comput. Electr. Eng. 68: 241-251 (2018) - [j8]Chiu-Hsien Wu, Guo-Jhen Jiang, Kai-Wei Chang, Zu-Yin Deng, Yu-Ning Li, Kuen-Lin Chen, Chien-Chung Jeng:
Analysis of the Sensing Properties of a Highly Stable and Reproducible Ozone Gas Sensor Based on Amorphous In-Ga-Zn-O Thin Film. Sensors 18(1): 163 (2018) - [c43]Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Building Language Models for Text with Named Entities. ACL (1) 2018: 2373-2383 - [c42]Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani B. Srivastava, Kai-Wei Chang:
Generating Natural Language Adversarial Examples. EMNLP 2018: 2890-2896 - [c41]Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang:
Learning Gender-Neutral Word Embeddings. EMNLP 2018: 4847-4853 - [c40]Pei Zhou, Muhao Chen, Kai-Wei Chang, Carlo Zaniolo:
Quantification and Analysis of Scientific Language Variation Across Research Fields. ICDM Workshops 2018: 199-203 - [c39]Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang:
Multi-Task Learning for Document Ranking and Query Suggestion. ICLR (Poster) 2018 - [c38]Lu Feng, Mahsa Ghasemi, Kai-Wei Chang, Ufuk Topcu:
Counterexamples for Robotic Planning Explained in Structured Language. ICRA 2018: 7292-7297 - [c37]Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo:
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment. IJCAI 2018: 3998-4004 - [c36]Wasi Uddin Ahmad, Kai-Wei Chang:
A Corpus to Learn Refer-to-as Relations for Nominals. LREC 2018 - [c35]Sarah Masud Preum, Md. Rizwan Parvez, Kai-Wei Chang, John A. Stankovic:
A Corpus of Drug Usage Guidelines Annotated with Type of Advice. LREC 2018 - [c34]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. NAACL-HLT (2) 2018: 15-20 - [c33]Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang:
Learning Word Embeddings for Low-Resource Languages by PU Learning. NAACL-HLT 2018: 1024-1034 - [c32]Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang:
Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search. SIGIR 2018: 285-294 - [i25]Lu Feng, Mahsa Ghasemi, Kai-Wei Chang, Ufuk Topcu:
Counterexamples for Robotic Planning Explained in Structured Language. CoRR abs/1803.08966 (2018) - [i24]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. CoRR abs/1804.06876 (2018) - [i23]Wasi Uddin Ahmad, Xueying Bai, Zhechao Huang, Chao Jiang, Nanyun Peng, Kai-Wei Chang:
Multi-task Learning for Universal Sentence Representations: What Syntactic and Semantic Information is Captured? CoRR abs/1804.07911 (2018) - [i22]Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani B. Srivastava, Kai-Wei Chang:
Generating Natural Language Adversarial Examples. CoRR abs/1804.07998 (2018) - [i21]Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang:
LearningWord Embeddings for Low-resource Languages by PU Learning. CoRR abs/1805.03366 (2018) - [i20]Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Building Language Models for Text with Named Entities. CoRR abs/1805.04836 (2018) - [i19]Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo:
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment. CoRR abs/1806.06478 (2018) - [i18]Muhao Chen, Yingtao Tian, Haochen Chen, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo:
Learning to Represent Bilingual Dictionaries. CoRR abs/1808.03726 (2018) - [i17]Md. Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Sarigrama:
Building a Robust Text Classifier on a Test-Time Budget. CoRR abs/1808.08270 (2018) - [i16]Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang:
Learning Gender-Neutral Word Embeddings. CoRR abs/1809.01496 (2018) - [i15]Wasi Uddin Ahmad, Xueying Bai, Nanyun Peng, Kai-Wei Chang:
Learning Robust, Transferable Sentence Representations for Text Classification. CoRR abs/1810.00681 (2018) - [i14]Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Eduard H. Hovy, Kai-Wei Chang, Nanyun Peng:
Near or Far, Wide Range Zero-Shot Cross-Lingual Dependency Parsing. CoRR abs/1811.00570 (2018) - [i13]Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez:
Adversarial Removal of Gender from Deep Image Representations. CoRR abs/1811.08489 (2018) - [i12]Pei Zhou, Muhao Chen, Kai-Wei Chang, Carlo Zaniolo:
Quantification and Analysis of Scientific Language Variation Across Research Fields. CoRR abs/1812.01250 (2018) - 2017
- [c31]Kenneth Charles Arnold, Kai-Wei Chang, Adam Tauman Kalai:
Learning to Suggest Phrases. AAAI Workshops 2017 - [c30]Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama:
Resource Constrained Structured Prediction. AAAI 2017: 1756-1762 - [c29]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. EMNLP 2017: 2979-2989 - [c28]Kenneth C. Arnold, Kai-Wei Chang, Adam Kalai:
Counterfactual Language Model Adaptation for Suggesting Phrases. IJCNLP(2) 2017: 49-54 - [c27]Shyam Upadhyay, Kai-Wei Chang, Matt Taddy, Adam Kalai, James Y. Zou:
Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context. Rep4NLP@ACL 2017: 101-110 - [e2]Kai-Wei Chang, Ming-Wei Chang, Vivek Srikumar, Alexander M. Rush:
Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, SPNLP@EMNLP, Copenhagen, Denmark, September 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-93-7 [contents] - [i11]Shyam Upadhyay, Kai-Wei Chang, Matt Taddy, Adam Tauman Kalai, James Y. Zou:
Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context. CoRR abs/1706.08160 (2017) - [i10]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. CoRR abs/1707.09457 (2017) - [i9]Kenneth C. Arnold, Kai-Wei Chang, Adam Tauman Kalai:
Counterfactual Language Model Adaptation for Suggesting Phrases. CoRR abs/1710.01799 (2017) - 2016
- [c26]Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang, Wen-tau Yih:
Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems. EMNLP 2016: 297-306 - [c25]Kai-Wei Chang, He He, Stéphane Ross, Hal Daumé III, John Langford:
A Credit Assignment Compiler for Joint Prediction. NIPS 2016: 1705-1713 - [c24]Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai:
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. NIPS 2016: 4349-4357 - [e1]Kai-Wei Chang, Ming-Wei Chang, Alexander M. Rush, Vivek Srikumar:
Proceedings of the Workshop on Structured Prediction for NLP@EMNLP 2016, Austin, TX, USA, November 5, 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-29-6 [contents] - [i8]Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama:
Structured Prediction with Test-time Budget Constraints. CoRR abs/1602.08761 (2016) - [i7]Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai:
Quantifying and Reducing Stereotypes in Word Embeddings. CoRR abs/1606.06121 (2016) - [i6]Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Kalai:
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. CoRR abs/1607.06520 (2016) - 2015
- [b1]Kai-Wei Chang:
Selective algorithms for large-scale classification and structured learning. University of Illinois Urbana-Champaign, USA, 2015 - [c23]Kai-Wei Chang, Shyam Upadhyay, Gourab Kundu, Dan Roth:
Structural Learning with Amortized Inference. AAAI 2015: 2525-2531 - [c22]Haoruo Peng, Kai-Wei Chang, Dan Roth:
A Joint Framework for Coreference Resolution and Mention Head Detection. CoNLL 2015: 12-21 - [c21]Shu-Yen Lin, Jin-Yi Lin, Kai-Wei Chang, Cheng-Hung Huang:
Real-time data compression for thermal-controlled three-dimensional DRAM systems. GCCE 2015: 48-49 - [c20]Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daumé III, John Langford:
Learning to Search Better than Your Teacher. ICML 2015: 2058-2066 - [c19]Hal Daumé III, John Langford, Kai-Wei Chang, He He, Sudha Rao:
Hands-on Learning to Search for Structured Prediction. HLT-NAACL 2015: 1 - [i5]Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daumé III, John Langford:
Learning to Search Better Than Your Teacher. CoRR abs/1502.02206 (2015) - [i4]Kai-Wei Chang, He He, Hal Daumé III, John Langford:
Learning to Search for Dependencies. CoRR abs/1503.05615 (2015) - [i3]Ching-Pei Lee, Kai-Wei Chang, Shyam Upadhyay, Dan Roth:
Distributed Training of Structured SVM. CoRR abs/1506.02620 (2015) - [i2]Kai-Wei Chang, Shyam Upadhyay, Ming-Wei Chang, Vivek Srikumar, Dan Roth:
IllinoisSL: A JAVA Library for Structured Prediction. CoRR abs/1509.07179 (2015) - 2014
- [c18]Alla Rozovskaya, Kai-Wei Chang, Mark Sammons, Dan Roth, Nizar Habash:
The Illinois-Columbia System in the CoNLL-2014 Shared Task. CoNLL Shared Task 2014: 34-42 - [c17]Kai-Wei Chang, Wen-tau Yih, Bishan Yang, Christopher Meek:
Typed Tensor Decomposition of Knowledge Bases for Relation Extraction. EMNLP 2014: 1568-1579 - [c16]Rajhans Samdani, Kai-Wei Chang, Dan Roth:
A Discriminative Latent Variable Model for Online Clustering. ICML 2014: 1-9 - 2013
- [c15]Alla Rozovskaya, Kai-Wei Chang, Mark Sammons, Dan Roth:
The University of Illinois System in the CoNLL-2013 Shared Task. CoNLL Shared Task 2013: 13-19 - [c14]Kai-Wei Chang, Rajhans Samdani, Dan Roth:
A Constrained Latent Variable Model for Coreference Resolution. EMNLP 2013: 601-612 - [c13]Kai-Wei Chang, Wen-tau Yih, Christopher Meek:
Multi-Relational Latent Semantic Analysis. EMNLP 2013: 1602-1612 - [c12]Kai-Wei Chang, S. Sundararajan, S. Sathiya Keerthi:
Tractable Semi-supervised Learning of Complex Structured Prediction Models. ECML/PKDD (3) 2013: 176-191 - [c11]Kai-Wei Chang, Vivek Srikumar, Dan Roth:
Multi-core Structural SVM Training. ECML/PKDD (2) 2013: 401-416 - [i1]Xiao Cheng, Bingling Chen, Rajhans Samdani, Kai-Wei Chang, Zhiye Fei, Mark Sammons, John Wieting, Subhro Roy, Chizheng Wang, Dan Roth:
Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems. TAC 2013 - 2012
- [j7]Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin:
Large Linear Classification When Data Cannot Fit in Memory. ACM Trans. Knowl. Discov. Data 5(4): 23:1-23:23 (2012) - [c10]Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, Mark Sammons, Dan Roth:
Illinois-Coref: The UI System in the CoNLL-2012 Shared Task. EMNLP-CoNLL Shared Task 2012: 113-117 - [c9]Kai-Wei Chang, Biplab Deka, Wen-mei W. Hwu, Dan Roth:
Efficient Pattern-Based Time Series Classification on GPU. ICDM 2012: 131-140 - 2011
- [j6]Tsung-Ying Tsai, Kai-Wei Chang, Calvin Yu-Chian Chen:
iScreen: world's first cloud-computing web server for virtual screening and de novo drug design based on TCM database@Taiwan. J. Comput. Aided Mol. Des. 25(6): 525-531 (2011) - [c8]Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, Nick Rizzolo, Mark Sammons, Dan Roth:
Inference Protocols for Coreference Resolution. CoNLL Shared Task 2011: 40-44 - [c7]Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin:
Large Linear Classification When Data Cannot Fit in Memory. IJCAI 2011: 2777-2782 - [c6]Kai-Wei Chang, Dan Roth:
Selective block minimization for faster convergence of limited memory large-scale linear models. KDD 2011: 699-707 - 2010
- [j5]Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin:
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models. J. Mach. Learn. Res. 11: 815-848 (2010) - [j4]Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Michael Ringgaard, Chih-Jen Lin:
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM. J. Mach. Learn. Res. 11: 1471-1490 (2010) - [j3]Guo-Xun Yuan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin:
A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification. J. Mach. Learn. Res. 11: 3183-3234 (2010) - [c5]Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin:
Large linear classification when data cannot fit in memory. KDD 2010: 833-842
2000 – 2009
- 2009
- [c4]Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin:
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy. ACL/IJCNLP (2) 2009: 285-288 - [c3]Hung-Yi Lo, Kai-Wei Chang, Shang-Tse Chen, Tsung-Hsien Chiang, Chun-Sung Ferng, Cho-Jui Hsieh, Yi-Kuang Ko, Tsung-Ting Kuo, Hung-Che Lai, Ken-Yi Lin, Chia-Hsuan Wang, Hsiang-Fu Yu, Chih-Jen Lin, Hsuan-Tien Lin, Shou-De Lin:
An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. KDD Cup 2009: 57-64 - 2008
- [j2]Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin:
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines. J. Mach. Learn. Res. 9: 1369-1398 (2008) - [j1]Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin:
LIBLINEAR: A Library for Large Linear Classification. J. Mach. Learn. Res. 9: 1871-1874 (2008) - [c2]Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sathiya Keerthi, S. Sundararajan:
A dual coordinate descent method for large-scale linear SVM. ICML 2008: 408-415 - [c1]S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin:
A sequential dual method for large scale multi-class linear svms. KDD 2008: 408-416
Coauthor Index
Hung-yi Lee
aka: Hung-Yi Lee
aka: Hung-Yi Lee
Premkumar Natarajan
aka: Prem Natarajan
aka: Prem Natarajan
[c227] [c225] [c219] [c218] [c213] [c212] [c211] [c209] [c208] [c207] [c202] [c200] [c198] [c196] [c194] [c193] [i239] [i236] [i235] [i234] [i226] [i224] [i222] [i220] [i217] [i213] [i211] [i207] [i206] [i201] [i199] [i197] [i194] [i191] [c185] [c180] [c165] [c164] [c158] [c146] [i164] [i161] [i155] [i153] [i152] [i146] [i142] [c136] [c120] [c117] [c116] [c113] [i134] [i123] [i122] [i120] [c108] [c103] [c97] [c95] [c87] [i89] [i88] [i83] [i76] [i71] [i69] [i66] [c67] [i60] [i47] [i46] [c58] [c55] [c52] [c46] [i33] [i32] [i28] [i23] [i15] [i14]
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