Cheng Qian

According to our database, Cheng Qian authored at least 62 papers between 2022 and 2026.

Collaborative distances:

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

2026

Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe.

Yaxuan Li, Yuxin Zuo, Bingxiang He, Jinqian Zhang, Chaojun Xiao, Cheng Qian, Tianyu Yu, Huan-ang Gao, Wenkai Yang, Zhiyuan Liu, Ning Ding

CoRR, April, 2026

How Far Can Unsupervised RLVR Scale LLM Training?

Bingxiang He, Yuxin Zuo, Zeyuan Liu, Shangziqi Zhao, Zixuan Fu, Junlin Yang, Cheng Qian, Kaiyan Zhang, Yuchen Fan, Ganqu Cui, Xiusi Chen, Youbang Sun, Xingtai Lv, Xuekai Zhu, Li Sheng, Ran Li, Huan-ang Gao, Yuchen Zhang, Bowen Zhou, Zhiyuan Liu, Ning Ding

CoRR, March, 2026

Tool-R0: Self-Evolving LLM Agents for Tool-Learning from Zero Data.

Emre Can Acikgoz, Cheng Qian, Jonas Hübotter, Heng Ji, Dilek Hakkani-Tür, Gokhan Tur

CoRR, February, 2026

Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs.

Pengrui Han, Xueqiang Xu, Keyang Xuan, Peiyang Song, Siru Ouyang, Runchu Tian, Yuqing Jiang, Cheng Qian, Pengcheng Jiang, Jiashuo Sun, Junxia Cui, Ming Zhong, Ge Liu, Jiawei Han, Jiaxuan You

CoRR, February, 2026

Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks.

Guangwei Zhang, Jianing Zhu, Cheng Qian, Neil Gong, Rada Mihalcea, Zhaozhuo Xu, Jingrui He, Jiaqi Ma, Yun Huang, Chaowei Xiao, Bowen Li, Ahmed Abbasi, Dongwon Lee, Heng Ji, Denghui Zhang

CoRR, February, 2026

Teaching LLMs to Learn Tool Trialing and Execution through Environment Interaction.

Xingjie Gao, Pengcheng Huang, Zhenghao Liu, Yukun Yan, Shuo Wang, Zulong Chen, Cheng Qian, Ge Yu, Yu Gu

CoRR, January, 2026

Agentic Reasoning for Large Language Models.

Tianxin Wei, Ting-Wei Li, Zhining Liu, Xuying Ning, Ze Yang, Jiaru Zou, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Dongqi Fu, Zihao Li, Mengting Ai, Duo Zhou, Wenxuan Bao, Yunzhe Li, Gaotang Li, Cheng Qian, Yu Wang, Xiangru Tang, Yin Xiao, Liri Fang, Hui Liu, Xianfeng Tang, Yuji Zhang, Chi Wang, Jiaxuan You, Heng Ji, Hanghang Tong, Jingrui He

CoRR, January, 2026

PEARL: Self-Evolving Assistant for Time Management with Reinforcement Learning.

Bingxuan Li, Jeonghwan Kim, Cheng Qian, Xiusi Chen, Eitan Anzenberg, Niran Kundapur, Heng Ji

CoRR, January, 2026

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence.

Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Qihan Ren, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang

Trans. Mach. Learn. Res., 2026

WiNELL: Wikipedia Never-Ending Updating with LLM Agents.

Revanth Gangi Reddy, Tanay Dixit, Jiaxin Qin, Cheng Qian, Daniel Lee, Jiawei Han, Kevin Small, Xing Fan, Ruhi Sarikaya, Heng Ji

Proceedings of the ACM Web Conference 2026, 2026

ShortageSim: Simulating Drug Shortages Under Information Asymmetry.

Mingxuan Cui, Yilan Jiang, Duo Zhou, Cheng Qian, Yuji Zhang, Qiong Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

From Word to World: Can Large Language Models be Implicit Text-based World Models?

Yixia Li, Hongru Wang, Jiahao Qiu, Zhenfei Yin, Dongdong Zhang, Cheng Qian, Zeping Li, Pony Ma, Guanhua Chen, Heng Ji, Mengdi Wang

CoRR, December, 2025

JustRL: Scaling a 1.5B LLM with a Simple RL Recipe.

Bingxiang He, Zekai Qu, Zeyuan Liu, Yinghao Chen, Yuxin Zuo, Cheng Qian, Kaiyan Zhang, Weize Chen, Chaojun Xiao, Ganqu Cui, Ning Ding, Zhiyuan Liu

CoRR, December, 2025

Geometric-Disentangelment Unlearning.

Duo Zhou, Yuji Zhang, Tianxin Wei, Ruizhong Qiu, Ke Yang, Xiao Lin, Cheng Qian, Jingrui He, Hanghang Tong, Heng Ji, Huan Zhang

CoRR, November, 2025

LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software Engineering.

Jielin Qiu, Zuxin Liu, Zhiwei Liu, Rithesh Murthy, Jianguo Zhang, Haolin Chen, Shiyu Wang, Ming Zhu, Liangwei Yang, Juntao Tan, Roshan Ram, Akshara Prabhakar, Tulika Awalgaonkar, Zixiang Chen, Zhepeng Cen, Cheng Qian, Shelby Heinecke, Weiran Yao, Silvio Savarese, Caiming Xiong, Huan Wang

CoRR, November, 2025

CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents.

Jiayu Liu, Cheng Qian, Zhaochen Su, Qing Zong, Shijue Huang, Bingxiang He, Yi R. Fung

CoRR, November, 2025

xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning.

Cheng Qian, Zuxin Liu, Shirley Kokane, Akshara Prabhakar, Jielin Qiu, Haolin Chen, Zhiwei Liu, Heng Ji, Weiran Yao, Shelby Heinecke, Silvio Savarese, Caiming Xiong, Huan Wang

CoRR, October, 2025

Self-Improving LLM Agents at Test-Time.

Emre Can Acikgoz, Cheng Qian, Heng Ji, Dilek Hakkani-Tür, Gokhan Tur

CoRR, October, 2025

Veri-R1: Toward Precise and Faithful Claim Verification via Online Reinforcement Learning.

Qi He, Cheng Qian, Xiusi Chen, Bingxiang He, Yi R. Fung, Heng Ji

CoRR, October, 2025

UserRL: Training Interactive User-Centric Agent via Reinforcement Learning.

Cheng Qian, Zuxin Liu, Akshara Prabhakar, Jielin Qiu, Zhiwei Liu, Haolin Chen, Shirley Kokane, Heng Ji, Weiran Yao, Shelby Heinecke, Silvio Savarese, Caiming Xiong, Huan Wang

CoRR, September, 2025

LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering.

Jielin Qiu, Zuxin Liu, Zhiwei Liu, Rithesh Murthy, Jianguo Zhang, Haolin Chen, Shiyu Wang, Ming Zhu, Liangwei Yang, Juntao Tan, Zhepeng Cen, Cheng Qian, Shelby Heinecke, Weiran Yao, Silvio Savarese, Caiming Xiong, Huan Wang

CoRR, September, 2025

Context Engineering for Trustworthiness: Rescorla Wagner Steering Under Mixed and Inappropriate Contexts.

Rushi Wang, Jiateng Liu, Cheng Qian, Yifan Shen, Yanzhou Pan, Zhaozhuo Xu, Ahmed Abbasi, Heng Ji, Denghui Zhang

CoRR, September, 2025

UserBench: An Interactive Gym Environment for User-Centric Agents.

Cheng Qian, Zuxin Liu, Akshara Prabhakar, Zhiwei Liu, Jianguo Zhang, Haolin Chen, Heng Ji, Weiran Yao, Shelby Heinecke, Silvio Savarese, Caiming Xiong, Huan Wang

CoRR, July, 2025

A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence.

Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Qihan Ren, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang

CoRR, July, 2025

Atomic Reasoning for Scientific Table Claim Verification.

Yuji Zhang, Qingyun Wang, Cheng Qian, Jiateng Liu, Chenkai Sun, Denghui Zhang, Tarek F. Abdelzaher, Chengxiang Zhai, Preslav Nakov, Heng Ji

CoRR, June, 2025

Toward a Theory of Agents as Tool-Use Decision-Makers.

Hongru Wang, Cheng Qian, Manling Li, Jiahao Qiu, Boyang Xue, Mengdi Wang, Heng Ji, Kam-Fai Wong

CoRR, June, 2025

RM-R1: Reward Modeling as Reasoning.

Xiusi Chen, Gaotang Li, Ziqi Wang, Bowen Jin, Cheng Qian, Yu Wang, Hongru Wang, Yu Zhang, Denghui Zhang, Tong Zhang, Hanghang Tong, Heng Ji

CoRR, May, 2025

Tool Learning with Foundation Models.

Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Xuanhe Zhou, Yufei Huang, Chaojun Xiao, Chi Han, Yi R. Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Guoliang Li, Zhiyuan Liu, Maosong Sun

ACM Comput. Surv., April, 2025

A Desideratum for Conversational Agents: Capabilities, Challenges, and Future Directions.

Emre Can Acikgoz, Cheng Qian, Hongru Wang, Vardhan Dongre, Xiusi Chen, Heng Ji, Dilek Hakkani-Tür, Gokhan Tur

CoRR, April, 2025

OTC: Optimal Tool Calls via Reinforcement Learning.

Hongru Wang, Cheng Qian, Wanjun Zhong, Xiusi Chen, Jiahao Qiu, Shijue Huang, Bowen Jin, Mengdi Wang, Kam-Fai Wong, Heng Ji

CoRR, April, 2025

ToolRL: Reward is All Tool Learning Needs.

Cheng Qian, Emre Can Acikgoz, Qi He, Hongru Wang, Xiusi Chen, Dilek Hakkani-Tür, Gokhan Tur, Heng Ji

CoRR, April, 2025

Alice: Proactive Learning with Teacher's Demonstrations for Weak-to-Strong Generalization.

Shujin Wu, Cheng Qian, Yi R. Fung, Paul Pu Liang, Heng Ji

CoRR, April, 2025

AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset.

Bingxiang He, Wenbin Zhang, Jiaxi Song, Cheng Qian, Zixuan Fu, Bowen Sun, Ning Ding, Haiwen Hong, Longtao Huang, Hui Xue, Ganqu Cui, Wanxiang Che, Zhiyuan Liu, Maosong Sun

CoRR, April, 2025

MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents.

Kunlun Zhu, Hongyi Du, Zhaochen Hong, Xiaocheng Yang, Shuyi Guo, Zhe Wang, Zhenhailong Wang, Cheng Qian, Xiangru Tang, Heng Ji, Jiaxuan You

CoRR, March, 2025

Internal Activation as the Polar Star for Steering Unsafe LLM Behavior.

Peixuan Han, Cheng Qian, Xiusi Chen, Yuji Zhang, Denghui Zhang, Heng Ji

CoRR, February, 2025

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents.

Rui Yang, Hanyang Chen, Junyu Zhang, Mark Zhao, Cheng Qian, Kangrui Wang, Qineng Wang, Teja Venkat Koripella, Marziyeh Movahedi, Manling Li, Heng Ji, Huan Zhang, Tong Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance.

Yaxi Lu, Shenzhi Yang, Cheng Qian, Guirong Chen, Qinyu Luo, Yesai Wu, Huadong Wang, Xin Cong, Zhong Zhang, Yankai Lin, Weiwen Liu, Yasheng Wang, Zhiyuan Liu, Fangming Liu, Maosong Sun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ISACL: Internal State Analyzer for Copyrighted Training Data Leakage.

Guangwei Zhang, Qisheng Su, Jiateng Liu, Cheng Qian, Yanzhou Pan, Yanjie Fu, Denghui Zhang

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

Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context.

Rushi Wang, Jiateng Liu, Cheng Qian, Yifan Shen, Yanzhou Pan, Zhaozhuo Xu, Ahmed Abbasi, Heng Ji, Denghui Zhang

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

ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges.

Cheng Qian, Hongyi Du, Hongru Wang, Xiusi Chen, Yuji Zhang, Avirup Sil, ChengXiang Zhai, Kathleen McKeown, Heng Ji

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

SafeSwitch: Steering Unsafe LLM Behavior via Internal Activation Signals.

Peixuan Han, Cheng Qian, Xiusi Chen, Yuji Zhang, Heng Ji, Denghui Zhang

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

DecisionFlow: Advancing Large Language Model as Principled Decision Maker.

Xiusi Chen, Shanyong Wang, Cheng Qian, Hongru Wang, Peixuan Han, Heng Ji

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

Aligning LLMs with Individual Preferences via Interaction.

Shujin Wu, Yi R. Fung, Cheng Qian, Jeonghwan Kim, Dilek Hakkani-Tur, Heng Ji

Proceedings of the 31st International Conference on Computational Linguistics, 2025

MultiAgentBench : Evaluating the Collaboration and Competition of LLM agents.

Kunlun Zhu, Hongyi Du, Zhaochen Hong, Xiaocheng Yang, Shuyi Guo, Zhe Wang, Zhenhailong Wang, Cheng Qian, Robert Tang, Heng Ji, Jiaxuan You

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs.

Runchu Tian, Yanghao Li, Yuepeng Fu, Siyang Deng, Qinyu Luo, Cheng Qian, Shuo Wang, Xin Cong, Zhong Zhang, Yesai Wu, Yankai Lin, Huadong Wang, Xiaojiang Liu

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

The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning.

Bingxiang He, Ning Ding, Cheng Qian, Jia Deng, Ganqu Cui, Lifan Yuan, Haiwen Hong, Huan-ang Gao, Longtao Huang, Hui Xue, Huimin Chen, Zhiyuan Liu, Maosong Sun

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

EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents.

Cheng Qian, Peixuan Han, Qinyu Luo, Bingxiang He, Xiusi Chen, Yuji Zhang, Hongyi Du, Jiarui Yao, Xiaocheng Yang, Denghui Zhang, Yunzhu Li, Heng Ji

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SMART: Self-Aware Agent for Tool Overuse Mitigation.

Cheng Qian, Emre Can Acikgoz, Hongru Wang, Xiusi Chen, Avirup Sil, Dilek Hakkani-Tür, Gokhan Tur, Heng Ji

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

The Law of Knowledge Overshadowing: Towards Understanding, Predicting and Preventing LLM Hallucination.

Yuji Zhang, Sha Li, Cheng Qian, Jiateng Liu, Pengfei Yu, Chi Han, Yi R. Fung, Kathleen McKeown, ChengXiang Zhai, Manling Li, Heng Ji

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

Enhancing Open-Domain Task-Solving Capability of LLMs via Autonomous Tool Integration from GitHub.

Bohan Lyu, Xin Cong, Heyang Yu, Pan Yang, Cheng Qian, Zihe Wang, Yujia Qin, Yining Ye, Yaxi Lu, Chen Qian, Zhong Zhang, Yukun Yan, Yankai Lin, Zhiyuan Liu, Maosong Sun

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

EscapeBench: Pushing Language Models to Think Outside the Box.

Cheng Qian, Peixuan Han, Qinyu Luo, Bingxiang He, Xiusi Chen, Yuji Zhang, Hongyi Du, Jiarui Yao, Xiaocheng Yang, Denghui Zhang, Yunzhu Li, Heng Ji

CoRR, 2024

Aligning LLMs with Individual Preferences via Interaction.

Shujin Wu, May Fung, Cheng Qian, Jeonghwan Kim, Dilek Hakkani-Tur, Heng Ji

CoRR, 2024

Zero-Shot Generalization during Instruction Tuning: Insights from Similarity and Granularity.

Bingxiang He, Ning Ding, Cheng Qian, Jia Deng, Ganqu Cui, Lifan Yuan, Huan-ang Gao, Huimin Chen, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Investigate-Consolidate-Exploit: A General Strategy for Inter-Task Agent Self-Evolution.

Cheng Qian, Shihao Liang, Yujia Qin, Yining Ye, Xin Cong, Yankai Lin, Yesai Wu, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model.

Cheng Qian, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu

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

Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents.

Cheng Qian, Bingxiang He, Zhong Zhuang, Jia Deng, Yujia Qin, Xin Cong, Zhong Zhang, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

"Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge Graphs.

Cheng Qian, Xinran Zhao, Sherry Tongshuang Wu

CoRR, 2023

CREATOR: Disentangling Abstract and Concrete Reasonings of Large Language Models through Tool Creation.

Cheng Qian, Chi Han, Yi R. Fung, Yujia Qin, Zhiyuan Liu, Heng Ji

CoRR, 2023

Tool Learning with Foundation Models.

Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun

CoRR, 2023

CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models.

Cheng Qian, Chi Han, Yi Ren Fung, Yujia Qin, Zhiyuan Liu, Heng Ji

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Recyclable Tuning for Continual Pre-training.

Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Exploring Mode Connectivity for Pre-trained Language Models.

Yujia Qin, Cheng Qian, Jing Yi, Weize Chen, Yankai Lin, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022