Feng, Shi

20 publications

JAIR 2026 T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning Systems Ming Wang, Daling Wang, Wenfang Wu, Shi Feng, Yifei Zhang

NeurIPS 2025 AI Debate Aids Assessment of Controversial Claims Salman Rahman, Sheriff Issaka, Ashima Suvarna, Genglin Liu, James Shiffer, Jaeyoung Lee, Md Rizwan Parvez, Hamid Palangi, Shi Feng, Nanyun Peng, Yejin Choi, Julian Michael, Liwei Jiang, Saadia Gabriel

ICLR 2025 Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats Jiaxin Wen, Vivek Hebbar, Caleb Larson, Aryan Bhatt, Ansh Radhakrishnan, Mrinank Sharma, Henry Sleight, Shi Feng, He He, Ethan Perez, Buck Shlegeris, Akbir Khan

ICLR 2025 Language Models Learn to Mislead Humans via RLHF Jiaxin Wen, Ruiqi Zhong, Akbir Khan, Ethan Perez, Jacob Steinhardt, Minlie Huang, Samuel R. Bowman, He He, Shi Feng

NeurIPS 2025 Predicting Empirical AI Research Outcomes with Language Models Jiaxin Wen, Chenglei Si, Chen Yueh-Han, He He, Shi Feng

ECML-PKDD 2024 A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation Yongkang Liu, Ercong Nie, Shi Feng, Zheng Hua, Zifeng Ding, Daling Wang, Yifei Zhang, Hinrich Schütze

NeurIPS 2024 ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen

NeurIPS 2024 Carrot and Stick: Eliciting Comparison Data and Beyond Yiling Chen, Shi Feng, Fang-Yi Yu

ACML 2024 Combinatorial Causal Bandits Without Graph Skeleton Shi Feng, Nuoya Xiong, Wei Chen

NeurIPS 2024 LLM Evaluators Recognize and Favor Their Own Generations Arjun Panickssery, Samuel R. Bowman, Shi Feng

AAAI 2023 Combinatorial Causal Bandits Shi Feng, Wei Chen

ICLR 2023 Learning Human-Compatible Representations for Case-Based Decision Support Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan

TMLR 2023 Machine Explanations and Human Understanding Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan

NeurIPS 2022 Peer Prediction for Learning Agents Shi Feng, Fang-Yi Yu, Yiling Chen

AAAI 2021 A Graph Reasoning Network for Multi-Turn Response Selection via Customized Pre-Training Yongkang Liu, Shi Feng, Daling Wang, Kaisong Song, Feiliang Ren, Yifei Zhang

ICML 2021 Calibrate Before Use: Improving Few-Shot Performance of Language Models Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh

IJCAI 2020 EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness Shifeng Li, Shi Feng, Daling Wang, Kaisong Song, Yifei Zhang, Weichao Wang

ICML 2019 Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation Sahil Singla, Eric Wallace, Shi Feng, Soheil Feizi

IJCAI 2017 Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness Kaisong Song, Wei Gao, Shi Feng, Daling Wang, Kam-Fai Wong, Chengqi Zhang

IJCAI 2015 Personalized Sentiment Classification Based on Latent Individuality of Microblog Users Kaisong Song, Shi Feng, Wei Gao, Daling Wang, Ge Yu, Kam-Fai Wong