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Cheng Qian
Observed name:
Qian, Cheng
Institutions:
University of Illinois Urbana-Champaign,
Salesforce (United States)
Observed institutions:
University of Illinois Urbana-Champaign,
Salesforce (United States)
OpenAlex ID:
A5139764426
ToolRL: Reward is All Tool Learning Needs
2025
·
Cheng Qian
, Emre Can Acikgoz
, et al.
·
neural information processing systems
·
6
CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents
2026
·
Jiayu Liu
, Cheng Qian
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
2
PDF
TT-SI: Self-Improving LLM Agents with Test-Time Training
2026
·
Emre Can Acikgoz
, Cheng Qian
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
·
1
PDF
Native Real-Time Interactive Omni Intelligence: A Unified Framework
2026
·
Yifan Shen
, Zhuoqing Zhong
, et al.
·
Preprints.org
AdaExploreBench: Benchmarking LLM Agents for Proactive Exploration and Test-time Adaptation in Evolving Environments
2026
·
Wang, Rui
, Lai, Zishen
, et al.
·
arXiv (Cornell University)
PDF
AutoSFT: An Agentic System for Automated Data Research in Supervised Fine-Tuning
2026
·
He, Bingxiang
, Sun, Pengqi
, et al.
·
arXiv (Cornell University)
PDF
Agent Error Dataset: Scaling 50,000 Error--Diagnosis Pairs for Failure Analysis and Error-Aware Post-Training
2026
·
Zhu, Kunlun
, Ye, Xuyan
, et al.
·
arXiv (Cornell University)
PDF
Popular Knowledge Propagates More Errors in LLM Knowledge Updating
2026
·
Zhang, Yuji
, Wang, Weibing
, et al.
·
arXiv (Cornell University)
PDF
Rethinking On-Policy Distillation of Large Language Models II: One Training Example
2026
·
Fu, Zixuan
, He, Bingxiang
, et al.
·
arXiv (Cornell University)
PDF
AI4AI at Test-Time: Strong-to-Weak Capability Transfer via Harnesses
2026
·
Qian, Cheng
, Zhao, Wenting
, et al.
·
arXiv (Cornell University)
PDF
Long-Horizon Embodied Decision-Making via Multimodal Memory Compression
2026
·
Li, Bingxuan
, Yang, Rui
, et al.
·
arXiv (Cornell University)
PDF
Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning
2026
·
Wu, Shujin
, Qian, Cheng
, et al.
·
arXiv (Cornell University)
PDF
Information Limits and Attractor Dynamics in Economies of Frontier LLM Agents: A Pre-Registered Test
2026
·
Qian, Cheng
·
Zenodo (CERN European Organization for Nuclear Research)
Information Limits and Attractor Dynamics in Economies of Frontier LLM Agents: A Pre-Registered Test
2026
·
Qian, Cheng
·
Zenodo (CERN European Organization for Nuclear Research)
Position:Agents should invoke external tools ONLY when epistemically necessary
2026
·
Wang, Hongru
, Qian, Cheng
, et al.
·
Edinburgh Research Explorer (University of Edinburgh)
PDF
ShortageSim: Simulating Drug Shortages Under Information Asymmetry
2026
·
Mingxuan Cui
, Yilan Jiang
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
PDF
How Far Can Unsupervised RLVR Scale LLM Training?
2026
·
He, Bingxiang
, Zuo, Yuxin
, et al.
·
arXiv (Cornell University)
PDF
Tool-R0: Self-Evolving LLM Agents for Tool-Learning from Zero Data
2026
·
Emre Can Acikgoz
, Cheng Qian
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks
2026
·
Guangwei Zhang
, Jianing Zhu
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
From Word to World: Can Large Language Models be Implicit Text-based World Models?
2026
·
Yixia Li
, Hongru Wang
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Current Agents Fail to Leverage World Model as Tool for Foresight
2026
·
Cheng Qian
, Emre Can Acikgoz
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PEARL: Self-Evolving Assistant for Time Management with Reinforcement Learning
2026
·
Bingxuan Li
, Jeonghwan Kim
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Evaluating the Hidden Costs of Personalization in Large Language Models
2026
·
Yumeng Wang
, Yuchen Wu
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Aligning LLMs with Individual Preferences via Interaction
2024
·
Wu, Shujin
, Fung, May
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
24
Citation count:
9
H-index:
2
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