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2020 – today
- 2024
[c26]Shizhe Diao, Pengcheng Wang, Yong Lin, Rui Pan, Xiang Liu, Tong Zhang:
Active Prompting with Chain-of-Thought for Large Language Models. ACL (1) 2024: 1330-1350- [c25]Rui Pan, Shuo Xing, Shizhe Diao, Wenhe Sun, Xiang Liu, Kashun Shum, Jipeng Zhang, Renjie Pi, Tong Zhang:
Plum: Prompt Learning using Metaheuristics. ACL (Findings) 2024: 2177-2197 - [c24]Haoxiang Wang, Yong Lin, Wei Xiong, Rui Yang, Shizhe Diao, Shuang Qiu, Han Zhao, Tong Zhang:
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards. ACL (1) 2024: 8642-8655 - [c23]Quyet V. Do, Tianqing Fang, Shizhe Diao, Zhaowei Wang, Yangqiu Song:
ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases. EACL (1) 2024: 714-731 - [c22]Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Heng Ji, Yuan Yao, Tong Zhang:
Mitigating the Alignment Tax of RLHF. EMNLP 2024: 580-606 - [c21]Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao:
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales. EMNLP 2024: 5985-5998 - [c20]Ruida Wang, Jipeng Zhang, Yizhen Jia, Rui Pan, Shizhe Diao, Renjie Pi, Tong Zhang:
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts. EMNLP 2024: 11953-11974 - [c19]KaShun Shum, Minrui Xu, Jianshu Zhang, Zixin Chen, Shizhe Diao, Hanze Dong, Jipeng Zhang, Muhammad Omer Raza:
FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation. EMNLP 2024: 12646-12659 - [c18]Tianyang Han, Qing Lian, Rui Pan, Renjie Pi, Jipeng Zhang, Shizhe Diao, Yong Lin, Tong Zhang:
The Instinctive Bias: Spurious Images lead to Illusion in MLLMs. EMNLP 2024: 16163-16177 - [c17]Shizhe Diao, Rui Pan, Hanze Dong, Kashun Shum, Jipeng Zhang, Wei Xiong, Tong Zhang:
LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. NAACL (Demonstrations) 2024: 116-127 - [c16]Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang:
R-Tuning: Instructing Large Language Models to Say 'I Don't Know'. NAACL-HLT 2024: 7113-7139 - [c15]Xu Liu
, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann:
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. WWW 2024: 4095-4106 - [i35]Quyet V. Do, Tianqing Fang, Shizhe Diao, Zhaowei Wang, Yangqiu Song:
ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases. CoRR abs/2401.14003 (2024) - [i34]Tianyang Han, Qing Lian, Rui Pan, Renjie Pi, Jipeng Zhang, Shizhe Diao, Yong Lin, Tong Zhang:
The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs. CoRR abs/2402.03757 (2024) - [i33]Xin Xu, Shizhe Diao, Can Yang, Yang Wang:
Can We Verify Step by Step for Incorrect Answer Detection? CoRR abs/2402.10528 (2024) - [i32]Haoxiang Wang, Yong Lin, Wei Xiong, Rui Yang, Shizhe Diao, Shuang Qiu, Han Zhao, Tong Zhang:
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards. CoRR abs/2402.18571 (2024) - [i31]Rui Pan, Xiang Liu, Shizhe Diao, Renjie Pi, Jipeng Zhang, Chi Han, Tong Zhang:
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning. CoRR abs/2403.17919 (2024) - [i30]Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao:
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales. CoRR abs/2405.20974 (2024) - [i29]Dylan Zhang, Shizhe Diao, Xueyan Zou, Hao Peng:
PLUM: Preference Learning Plus Test Cases Yields Better Code Language Models. CoRR abs/2406.06887 (2024) - [i28]Cheng Niu, Yang Guan, Yuanhao Wu, Juno Zhu, Juntong Song, Randy Zhong, Kaihua Zhu, Siliang Xu, Shizhe Diao, Tong Zhang:
VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning. CoRR abs/2406.10289 (2024) - [i27]Ruida Wang, Jipeng Zhang, Yizhen Jia, Rui Pan, Shizhe Diao, Renjie Pi, Tong Zhang:
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts. CoRR abs/2407.03203 (2024) - [i26]KaShun Shum, Minrui Xu, Jianshu Zhang, Zixin Chen, Shizhe Diao, Hanze Dong, Jipeng Zhang, Muhammad Omer Raza:
FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation. CoRR abs/2408.12168 (2024) - [i25]Qiaolong Cai, Zhaowei Wang, Shizhe Diao, James Kwok, Yangqiu Song:
CodeGraph: Enhancing Graph Reasoning of LLMs with Code. CoRR abs/2408.13863 (2024) - [i24]Haibo Wang, Zhiyang Xu, Yu Cheng, Shizhe Diao, Yufan Zhou, Yixin Cao, Qifan Wang, Weifeng Ge, Lifu Huang:
Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models. CoRR abs/2410.03290 (2024) - [i23]Xin Dong, Yonggan Fu, Shizhe Diao, Wonmin Byeon, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Shih-Yang Liu, Matthijs Van Keirsbilck, Min-Hung Chen, Yoshi Suhara, Yingyan Lin, Jan Kautz, Pavlo Molchanov:
Hymba: A Hybrid-head Architecture for Small Language Models. CoRR abs/2411.13676 (2024) - [i22]Hanning Zhang, Pengcheng Wang, Shizhe Diao, Yong Lin, Rui Pan, Hanze Dong, Dylan Zhang, Pavlo Molchanov, Tong Zhang:
Entropy-Regularized Process Reward Model. CoRR abs/2412.11006 (2024) - 2023
- [j2]Shizhe Diao, Zhichao Huang, Ruijia Xu, Xuechun Li, Yong Lin, Xiao Zhou, Tong Zhang:
Black-Box Prompt Learning for Pre-trained Language Models. Trans. Mach. Learn. Res. 2023 (2023) - [j1]Hanze Dong, Wei Xiong, Deepanshu Goyal, Yihan Zhang, Winnie Chow, Rui Pan, Shizhe Diao, Jipeng Zhang, Kashun Shum, Tong Zhang:
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment. Trans. Mach. Learn. Res. 2023 (2023) - [c14]Shizhe Diao, Tianyang Xu, Ruijia Xu, Jiawei Wang, Tong Zhang:
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models' Memories. ACL (1) 2023: 5113-5129 - [c13]Zhihong Chen, Guiming Chen, Shizhe Diao, Xiang Wan, Benyou Wang:
On the Difference of BERT-style and CLIP-style Text Encoders. ACL (Findings) 2023: 13710-13721 - [c12]Kashun Shum, Shizhe Diao, Tong Zhang:
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data. EMNLP (Findings) 2023: 12113-12139 - [c11]Shizhe Diao, Yongyu Lei, Liangming Pan, Tianqing Fang, Wangchunshu Zhou, Sedrick Scott Keh, Min-Yen Kan, Tong Zhang:
Doolittle: Benchmarks and Corpora for Academic Writing Formalization. EMNLP 2023: 13093-13111 - [c10]Renjie Pi, Jiahui Gao, Shizhe Diao, Rui Pan, Hanze Dong, Jipeng Zhang, Lewei Yao, Jianhua Han, Hang Xu, Lingpeng Kong, Tong Zhang:
DetGPT: Detect What You Need via Reasoning. EMNLP 2023: 14172-14189 - [c9]Zhihong Chen, Shizhe Diao, Benyou Wang, Guanbin Li, Xiang Wan:
Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts. ICCV 2023: 23346-23356 - [c8]Shizhe Diao, Wangchunshu Zhou, Xinsong Zhang, Jiawei Wang:
Write and Paint: Generative Vision-Language Models are Unified Modal Learners. ICLR 2023 - [c7]Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang:
Hashtag-Guided Low-Resource Tweet Classification. WWW 2023: 1415-1426 - [i21]Zhihong Chen, Shizhe Diao, Benyou Wang, Guanbin Li, Xiang Wan:
Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts. CoRR abs/2302.08958 (2023) - [i20]Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang:
Hashtag-Guided Low-Resource Tweet Classification. CoRR abs/2302.10143 (2023) - [i19]Shizhe Diao, Pengcheng Wang, Yong Lin, Tong Zhang:
Active Prompting with Chain-of-Thought for Large Language Models. CoRR abs/2302.12246 (2023) - [i18]Kashun Shum, Shizhe Diao, Tong Zhang:
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data. CoRR abs/2302.12822 (2023) - [i17]Hanze Dong, Wei Xiong, Deepanshu Goyal, Rui Pan, Shizhe Diao, Jipeng Zhang, Kashun Shum, Tong Zhang:
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment. CoRR abs/2304.06767 (2023) - [i16]Renjie Pi, Jiahui Gao, Shizhe Diao, Rui Pan, Hanze Dong, Jipeng Zhang, Lewei Yao, Jianhua Han, Hang Xu, Lingpeng Kong, Tong Zhang:
DetGPT: Detect What You Need via Reasoning. CoRR abs/2305.14167 (2023) - [i15]Zhihong Chen, Guiming Hardy Chen, Shizhe Diao, Xiang Wan, Benyou Wang:
On the Difference of BERT-style and CLIP-style Text Encoders. CoRR abs/2306.03678 (2023) - [i14]Shizhe Diao, Tianyang Xu, Ruijia Xu, Jiawei Wang, Tong Zhang:
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models Memories. CoRR abs/2306.05406 (2023) - [i13]Shizhe Diao, Rui Pan, Hanze Dong, Kashun Shum, Jipeng Zhang, Wei Xiong, Tong Zhang:
LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. CoRR abs/2306.12420 (2023) - [i12]Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Yuan Yao, Tong Zhang:
Mitigating the Alignment Tax of RLHF. CoRR abs/2309.06256 (2023) - [i11]Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann:
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. CoRR abs/2310.09751 (2023) - [i10]Ziqiang Zheng, Jipeng Zhang, Tuan-Anh Vu, Shizhe Diao, Yue Him Tim Wong, Sai-Kit Yeung:
MarineGPT: Unlocking Secrets of Ocean to the Public. CoRR abs/2310.13596 (2023) - [i9]Rui Pan, Shuo Xing, Shizhe Diao, Xiang Liu, Kashun Shum, Jipeng Zhang, Tong Zhang:
Plum: Prompt Learning using Metaheuristic. CoRR abs/2311.08364 (2023) - [i8]Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang:
R-Tuning: Teaching Large Language Models to Refuse Unknown Questions. CoRR abs/2311.09677 (2023) - 2022
- [c6]Wangchunshu Zhou, Yan Zeng, Shizhe Diao, Xinsong Zhang:
VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training. ICML 2022: 27395-27411 - [i7]Shizhe Diao, Xuechun Li, Yong Lin, Zhichao Huang, Tong Zhang:
Black-box Prompt Learning for Pre-trained Language Models. CoRR abs/2201.08531 (2022) - [i6]Wangchunshu Zhou, Yan Zeng, Shizhe Diao, Xinsong Zhang:
VLUE: A Multi-Task Benchmark for Evaluating Vision-Language Models. CoRR abs/2205.15237 (2022) - [i5]Shizhe Diao, Wangchunshu Zhou, Xinsong Zhang, Jiawei Wang:
Prefix Language Models are Unified Modal Learners. CoRR abs/2206.07699 (2022) - [i4]Hanze Dong, Shizhe Diao, Weizhong Zhang, Tong Zhang:
Normalizing Flow with Variational Latent Representation. CoRR abs/2211.11638 (2022) - [i3]Rui Pan, Shizhe Diao, Jianlin Chen, Tong Zhang:
ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT. CoRR abs/2211.17201 (2022) - 2021
- [c5]Shizhe Diao, Ruijia Xu, Hongjin Su, Yilei Jiang, Yan Song, Tong Zhang:
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation. ACL/IJCNLP (1) 2021: 3336-3349 - [c4]Shizhe Diao, Xinwei Shen, Kashun Shum, Yan Song, Tong Zhang:
TILGAN: Transformer-based Implicit Latent GAN for Diverse and Coherent Text Generation. ACL/IJCNLP (Findings) 2021: 4844-4858 - [c3]Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang:
Efficient Neural Network Training via Forward and Backward Propagation Sparsification. NeurIPS 2021: 15216-15229 - [i2]Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang:
Efficient Neural Network Training via Forward and Backward Propagation Sparsification. CoRR abs/2111.05685 (2021) - 2020
- [c2]Shizhe Diao, Jiaxin Bai, Yan Song, Tong Zhang, Yonggang Wang:
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations. EMNLP (Findings) 2020: 4729-4740
2010 – 2019
- 2019
- [i1]Shizhe Diao, Jiaxin Bai, Yan Song, Tong Zhang, Yonggang Wang:
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations. CoRR abs/1911.00720 (2019) - 2017
- [c1]Yunchuan Sun, Mengting Fang, Xinyu Wang, Shizhe Diao:
GubaLex: Guba-Oriented Sentiment Lexicon for Big Texts in Finance. SKG 2017: 25-32
Coauthor Index
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