Taiwei Shi

According to our database, Taiwei Shi authored at least 22 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Skill Reuse as Compression in Agentic RL.

Zhikun Xu, Yu Feng, Jacob Dineen, Taiwei Shi, Jieyu Zhao, Ben Zhou

CoRR, May, 2026

Self-Evolving LLM Memory Extraction Across Heterogeneous Tasks.

Yuqing Yang, Tengxiao Liu, Wang Bill Zhu, Taiwei Shi, Linxin Song, Robin Jia

CoRR, April, 2026

The Blind Spot of Agent Safety: How Benign User Instructions Expose Critical Vulnerabilities in Computer-Use Agents.

Xuwei Ding, Skylar Zhai, Linxin Song, Jiate Li, Taiwei Shi, Nicholas Meade, Siva Reddy, Jian Kang, Jieyu Zhao

CoRR, April, 2026

Video-Based Reward Modeling for Computer-Use Agents.

Linxin Song, Jieyu Zhang, Huanxin Sheng, Taiwei Shi, Gupta Rahul, Yang Liu, Ranjay Krishna, Jian Kang, Jieyu Zhao

CoRR, March, 2026

DP-RFT: Learning to Generate Synthetic Text via Differentially Private Reinforcement Fine-Tuning.

Fangyuan Xu, Sihao Chen, Zinan Lin, Taiwei Shi, Sydney Graham, Pei Zhou, Mengting Wan, Alex Stein, Virginia Estellers, Charles Chen, Morris Sharp, Richard Speyer, Tadas Baltrusaitis, Jennifer Neville, Eunsol Choi, Longqi Yang

CoRR, February, 2026

Experiential Reinforcement Learning.

Taiwei Shi, Sihao Chen, Bowen Jiang, Linxin Song, Longqi Yang, Jieyu Zhao

CoRR, February, 2026

One Model, All Roles: Multi-Turn, Multi-Agent Self-Play Reinforcement Learning for Conversational Social Intelligence.

Bowen Jiang, Taiwei Shi, Ryo Kamoi, Yuan Yuan, Camillo J. Taylor, Longqi Yang, Pei Zhou, Sihao Chen

CoRR, February, 2026

2025

CoAct-1: Computer-using Agents with Coding as Actions.

Linxin Song, Yutong Dai, Viraj Prabhu, Jieyu Zhang, Taiwei Shi, Li Li, Junnan Li, Silvio Savarese, Zeyuan Chen, Jieyu Zhao, Ran Xu, Caiming Xiong

CoRR, August, 2025

The Hallucination Tax of Reinforcement Finetuning.

Linxin Song, Taiwei Shi, Jieyu Zhao

CoRR, May, 2025

Efficient Reinforcement Finetuning via Adaptive Curriculum Learning.

Taiwei Shi, Yiyang Wu, Linxin Song, Tianyi Zhou, Jieyu Zhao

CoRR, April, 2025

Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base.

Linxin Song, Xuwei Ding, Jieyu Zhang, Taiwei Shi, Ryotaro Shimizu, Rahul Gupta, Yang Liu, Jian Kang, Jieyu Zhao

CoRR, March, 2025

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.

Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang

CoRR, February, 2025

Detecting and Filtering Unsafe Training Data via Data Attribution.

Yijun Pan, Taiwei Shi, Jieyu Zhao, Jiaqi W. Ma

CoRR, February, 2025

The Hallucination Tax of Reinforcement Finetuning.

Linxin Song, Taiwei Shi, Jieyu Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

STEER-BENCH: A Benchmark for Evaluating the Steerability of Large Language Models.

Kai Chen, Zihao He, Taiwei Shi, Kristina Lerman

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback.

Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville

CoRR, 2024

Safer-Instruct: Aligning Language Models with Automated Preference Data.

Taiwei Shi, Kai Chen, Jieyu Zhao

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Can Language Model Moderators Improve the Health of Online Discourse?

Hyundong Cho, Shuai Liu, Taiwei Shi, Darpan Jain, Basem Rizk, Yuyang Huang, Zixun Lu, Nuan Wen, Jonathan Gratch, Emilio Ferrara, Jonathan May

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

How Susceptible are Large Language Models to Ideological Manipulation?

Kai Chen, Zihao He, Jun Yan, Taiwei Shi, Kristina Lerman

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Decentralized Inventory Transshipments with Quantal Response Equilibrium.

Qingren He, Taiwei Shi, Fei Xu, Wanhua Qiu

Syst., July, 2023

CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation.

Minzhi Li, Taiwei Shi, Caleb Ziems, Min-Yen Kan, Nancy F. Chen, Zhengyuan Liu, Diyi Yang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Neural Story Planning.

Anbang Ye, Christopher Cui, Taiwei Shi, Mark O. Riedl

CoRR, 2022