🧑‍🔬 Cheng Qian

🏛️ Affiliations

🎓University of Illinois Urbana-ChampaignUrbana · United States2024–2026 · 17 paperscurrent🏢SalesforceSan Francisco · United States2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models (2023 · 75 citations)
   Tool-augmented LLMs usually depend on a fixed set of existing APIs. They must plan and execute in a single pass of implicit reasoning, which breaks easily, and they handle errors poorly. CREATOR addresses this by having the model write its own tools instead of only calling given ones. The framework has four stages.…
2. RM-R1: Reward Modeling as Reasoning (2025 · 49 citations)
   Reward models guide the alignment of LLMs, but each existing family has a weakness. Scalar RMs give no justification for their scores. Generative RMs explain their verdicts, yet their reasoning is often shallow. The authors treat preference judgment as a reasoning problem and introduce Reasoning Reward Models…
3. Aligning LLMs with Individual Preferences via Interaction (2025 · 24 citations)
   Most LLM alignment work targets broad norms such as helpfulness, harmlessness and honesty, and ignores that individual users have different, often unstated, preferences.
4. Current Agents Fail to Leverage World Model as Tool for Foresight (2026 · 1 citation)
   The paper asks whether today's vision-language agents can treat a generative world model as an optional external tool: a simulator they consult to preview the consequences of an action before committing to it in the real environment.

All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language ModelsFindings of the Association for Computational LinguisticsCheng Qian, Chi Han, Yi Fung, et al.2023 · 75 citations
2. RM-R1: Reward Modeling as ReasoningarXiv:2505.02387Xiusi Chen, Gaotang Li, Ziqi Wang, et al.2025 · 49 citations
3. Aligning LLMs with Individual Preferences via InteractionInternational Conference on Computational Linguistics (COLING)Shujin Wu, Yi R. Fung, Cheng Qian, et al.2025 · 24 citations
4. Current Agents Fail to Leverage World Model as Tool for ForesightAnnual Meeting of the Association for Computational Linguistics (ACL)Cheng Qian, Emre Can Acikgoz, Bingxuan Li, et al.2026 · 1 citation
5. Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) · no summary yetGuangwei Zhang et al.2026

🤝 Co-authors here

12 of 21 co-authors with a page, the most papers together first.

• Heng Ji ×4
• Dilek Hakkani-Tur ×2
• Xiusi Chen ×2
• Yi Fung ×2
• Bingxiang He
• Bingxuan Li
• Bowen Jin
• Chi Han
• Denghui Zhang
• Emre Can Acikgoz
• Gokhan Tur
• Hanghang Tong

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026
• International Conference on Computational Linguistics (COLING): COLING 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023

🔗 Cited by

Papers of our library cite their works 124 times (of the 149,439 papers whose bibliographies we read); 43 citing papers with a page here →.

Updated 1 November 2026

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