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2020 – today
- 2024
[j12]Yaobang Gong, Tanner Isom, Pan Lu, Xianfeng Terry Yang, Aaron Wang:
Modeling the impact of COVID-19 on transportation at later stage of the pandemic: A case study of Utah. J. Intell. Transp. Syst. 28(4): 544-554 (2024)- [c32]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 - [c31]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 - [c30]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 - [c29]Yujie Lu, Pan Lu, Zhiyu Chen, Wanrong Zhu, Xin Wang, William Yang Wang:
Multimodal Procedural Planning via Dual Text-Image Prompting. EMNLP (Findings) 2024: 10931-10954 - [c28]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 - [c27]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 - [c26]Renrui Zhang, Jiaming Han, Chris Liu, Aojun Zhou, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao:
LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention. ICLR 2024 - [c25]Dongyang Liu, Renrui Zhang, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao:
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. ICML 2024 - [c24]Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang:
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. ICML 2024 - [i33]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) - [i32]Peng Gao, Renrui Zhang, Chris Liu, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Hongsheng Li, Yu Qiao:
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. CoRR abs/2402.05935 (2024) - [i31]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) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanmin Wu, Jiayi Lei, Pengshuo Qiu, Pan Lu, Zehui Chen, Guanglu Song, Peng Gao, Yu Liu, Chunyuan Li, Hongsheng Li:
MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines. CoRR abs/2409.12959 (2024) - [i25]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) - 2023
- [j11]Xinyi Yang
, Xingyu Wang, Joseph Podolsky, Ying Huang, Pan Lu:
Assessing Vehicle Wandering Effects on the Accuracy of Weigh-in-Motion Measurement Based on In-Pavement Fiber Bragg Sensors through a Hybrid Sensor-Camera System. Sensors 23(21): 8707 (2023) - [c23]Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang:
A Survey of Deep Learning for Mathematical Reasoning. ACL (1) 2023: 14605-14631 - [c22]Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, Tony Xia:
TheoremQA: A Theorem-driven Question Answering Dataset. EMNLP 2023: 7889-7901 - [c21]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 - [c20]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 - [i24]Renrui Zhang, Jiaming Han, Aojun Zhou, Xiangfei Hu, Shilin Yan, Pan Lu, Hongsheng Li, Peng Gao, Yu Qiao:
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention. CoRR abs/2303.16199 (2023) - [i23]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) - [i22]Peng Gao, Jiaming Han, Renrui Zhang, Ziyi Lin, Shijie Geng, Aojun Zhou, Wei Zhang, Pan Lu, Conghui He, Xiangyu Yue, Hongsheng Li, Yu Qiao:
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model. CoRR abs/2304.15010 (2023) - [i21]Yujie Lu, Pan Lu, Zhiyu Chen, Wanrong Zhu, Xin Eric Wang, William Yang Wang:
Multimodal Procedural Planning via Dual Text-Image Prompting. CoRR abs/2305.01795 (2023) - [i20]Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, Tony Xia:
TheoremQA: A Theorem-driven Question Answering dataset. CoRR abs/2305.12524 (2023) - [i19]Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang:
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. CoRR abs/2307.10635 (2023) - [i18]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) - 2022
- [j10]Pan Lu, Wen Wang, Qian Yu, Bishuang Fan, Pengfei Liu, Faliang Wang, Xiangjun Zeng:
Permanent Single-Line-to-Ground Fault Removal Method for Ferro-Resonance Avoidance in Neutral Ungrounded Distribution Network. IEEE Access 10: 53724-53734 (2022) - [j9]Pan Lu, Panagiotis Kosmas:
Three-Dimensional Microwave Head Imaging with GPU-Based FDTD and the DBIM Method. Sensors 22(7): 2691 (2022) - [c19]Yizhou Zhao, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu:
Learning from the Tangram to Solve Mini Visual Tasks. AAAI 2022: 3490-3498 - [c18]Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, Song-Chun Zhu:
ValueNet: A New Dataset for Human Value Driven Dialogue System. AAAI 2022: 11183-11191 - [c17]Jiaqi Chen, Tong Li, Jinghui Qin, Pan Lu, Liang Lin, Chongyu Chen, Xiaodan Liang:
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression. EMNLP 2022: 3313-3323 - [c16]Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan:
LILA: A Unified Benchmark for Mathematical Reasoning. EMNLP 2022: 5807-5832 - [c15]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 - [c14]Liang Qiu, Yizhou Zhao, Yuan Liang, Pan Lu, Weiyan Shi, Zhou Yu, Song-Chun Zhu:
Towards Socially Intelligent Agents with Mental State Transition and Human Value. SIGDIAL 2022: 146-158 - [i17]Yizhou Zhao, Liang Qiu, Wensi Ai, Pan Lu, Song-Chun Zhu:
Triangular Character Animation Sampling with Motion, Emotion, and Relation. CoRR abs/2203.04930 (2022) - [i16]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) - [i15]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) - [i14]Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan:
Lila: A Unified Benchmark for Mathematical Reasoning. CoRR abs/2210.17517 (2022) - [i13]Jiaqi Chen, Tong Li, Jinghui Qin, Pan Lu, Liang Lin, Chongyu Chen, Xiaodan Liang:
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression. CoRR abs/2212.02746 (2022) - [i12]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
- [j8]Mohammad Amir Mansoori, Pan Lu, Mario R. Casu:
FPGA Acceleration of 3D FDTD for Multi- Antennas Microwave Imaging Using HLS. IEEE Access 9: 122696-122711 (2021) - [j7]Lu Gao, Pan Lu, Yihao Ren:
A deep learning approach for imbalanced crash data in predicting highway-rail grade crossings accidents. Reliab. Eng. Syst. Saf. 216: 108019 (2021) - [c13]Liang Qiu, Yuan Liang, Yizhou Zhao, Pan Lu, Baolin Peng, Zhou Yu, Ying Nian Wu, Song-Chun Zhu:
SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues. ACL/IJCNLP (1) 2021: 658-670 - [c12]Pan Lu, Ran Gong, Shibiao Jiang, Liang Qiu, Siyuan Huang, Xiaodan Liang, Song-Chun Zhu:
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning. ACL/IJCNLP (1) 2021: 6774-6786 - [c11]Pan Lu, Liang Qiu, Jiaqi Chen, Tanglin Xia, Yizhou Zhao, Wei Zhang, Zhou Yu, Xiaodan Liang, Song-Chun Zhu:
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning. NeurIPS Datasets and Benchmarks 2021 - [i11]Liang Qiu, Yizhou Zhao, Yuan Liang, Pan Lu, Weiyan Shi, Zhou Yu, Song-Chun Zhu:
Towards Socially Intelligent Agents with Mental State Transition and Human Utility. CoRR abs/2103.07011 (2021) - [i10]Pan Lu, Ran Gong, Shibiao Jiang, Liang Qiu, Siyuan Huang, Xiaodan Liang, Song-Chun Zhu:
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning. CoRR abs/2105.04165 (2021) - [i9]Liang Qiu, Yuan Liang, Yizhou Zhao, Pan Lu, Baolin Peng, Zhou Yu, Ying Nian Wu, Song-Chun Zhu:
SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues. CoRR abs/2106.01006 (2021) - [i8]Pan Lu, Liang Qiu, Jiaqi Chen, Tony Xia, Yizhou Zhao, Wei Zhang, Zhou Yu, Xiaodan Liang, Song-Chun Zhu:
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning. CoRR abs/2110.13214 (2021) - [i7]Yizhou Zhao, Wensi Ai, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu:
GenMotion: Data-driven Motion Generators for Real-time Animation Synthesis. CoRR abs/2112.06060 (2021) - [i6]Yizhou Zhao, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu:
Learning from the Tangram to Solve Mini Visual Tasks. CoRR abs/2112.06113 (2021) - [i5]Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, Song-Chun Zhu:
ValueNet: A New Dataset for Human Value Driven Dialogue System. CoRR abs/2112.06346 (2021) - 2020
- [j6]Xiaoyi Zhou, Pan Lu, Zijian Zheng, Denver Tolliver, Amin Keramati:
Accident Prediction Accuracy Assessment for Highway-Rail Grade Crossings Using Random Forest Algorithm Compared with Decision Tree. Reliab. Eng. Syst. Saf. 200: 106931 (2020) - [j5]Olympia Karadima, Mohammed Rahman, Ioannis Sotiriou, Navid Ghavami, Pan Lu, Syed Ahsan, Panagiotis Kosmas:
Experimental Validation of Microwave Tomography with the DBIM-TwIST Algorithm for Brain Stroke Detection and Classification. Sensors 20(3): 840 (2020) - [j4]Leonard Chia, Gina Blazanin, Ying Huang, Umma Salma Rashid, Pan Lu, Senay Simsek, Achintya N. Bezbaruah:
Surface Treatment of Carbon Nanotubes Using Modified Tapioca Starch for Improved Force Detection Consistency in Smart Cementitious Materials. Sensors 20(14): 3985 (2020) - [j3]Mu'ath Al-Tarawneh, Ying Huang, Pan Lu, Raj Bridgelall:
Weigh-In-Motion System in Flexible Pavements Using Fiber Bragg Grating Sensors Part A: Concept. IEEE Trans. Intell. Transp. Syst. 21(12): 5136-5147 (2020) - [c10]Wei Zhang, Yue Ying, Pan Lu, Hongyuan Zha:
Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption. AAAI 2020: 9571-9578
2010 – 2019
- 2019
- [c9]Peng Gao, Zhengkai Jiang, Haoxuan You, Pan Lu, Steven C. H. Hoi, Xiaogang Wang, Hongsheng Li:
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering. CVPR 2019: 6639-6648 - [c8]Ning Liu, Pan Lu, Wei Zhang, Jianyong Wang:
Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction. ICDE 2019: 1406-1417 - [c7]Botian Shi, Lei Ji, Pan Lu, Zhendong Niu, Nan Duan:
Knowledge Aware Semantic Concept Expansion for Image-Text Matching. IJCAI 2019: 5182-5189 - [c6]Yuanquan Lu, Wei Zhang, Pan Lu, Jianyong Wang:
A Novel Hybrid Sequential Model for Review-Based Rating Prediction. PAKDD (1) 2019: 148-159 - 2018
- [c5]Pan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang:
Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering. AAAI 2018: 7218-7225 - [c4]Peng Gao, Hongsheng Li, Shuang Li, Pan Lu, Yikang Li, Steven C. H. Hoi, Xiaogang Wang:
Question-Guided Hybrid Convolution for Visual Question Answering. ECCV (1) 2018: 485-501 - [c3]Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, Jianyong Wang:
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering. KDD 2018: 1880-1889 - [i4]Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, Jianyong Wang:
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering. CoRR abs/1805.09701 (2018) - [i3]Peng Gao, Pan Lu, Hongsheng Li, Shuang Li, Yikang Li, Steven C. H. Hoi, Xiaogang Wang:
Question-Guided Hybrid Convolution for Visual Question Answering. CoRR abs/1808.02632 (2018) - [i2]Peng Gao, Hongsheng Li, Haoxuan You, Zhengkai Jiang, Pan Lu, Steven C. H. Hoi, Xiaogang Wang:
Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering. CoRR abs/1812.05252 (2018) - 2017
- [j2]Yingying Liu, Shun Cheng, Shaogang Ding, Pan Lu, Yuanhao Sun:
基于改进ViBe算法的园林游客检测研究 (Garden Tourist Detection Based on Improved ViBe Algorithm). 计算机科学 44(Z6): 224-228 (2017) - [i1]Pan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang:
Co-attending Free-form Regions and Detections with Multi-modal Multiplicative Feature Embedding for Visual Question Answering. CoRR abs/1711.06794 (2017) - 2015
- [j1]Xue Li, Xiong Zhang, Lei Wu, Pan Lu, Shaohua Zhang:
Transmission Line Overload Risk Assessment for Power Systems With Wind and Load-Power Generation Correlation. IEEE Trans. Smart Grid 6(3): 1233-1242 (2015)
2000 – 2009
- 2009
- [c2]Chengjiong Wei, Min Yao, Pan Lu, Qi Hu, Nenggan Zheng:
OSEK/VDX-Based Dynamic Network Management on Automotive Network. ICESS 2009: 131-137 - [c1]Hong Li, Pan Lu, Min Yao, Nan Li:
SmartSAR: A Component-Based Hierarchy Software Platform for Automotive Electronics. ICESS 2009: 164-170
Coauthor Index
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