--- title: "Cheng Qian — author profile and papers — Elamur Research" description: "Cheng Qian, University of Illinois Urbana-Champaign: 6 papers on Elamur Research (2023–2026), h-index 1 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/cheng-qian/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/cheng-qian/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Cheng Qian # Cheng Qian Cheng Qian has 6 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Heng Ji](https://md.research.elamur.ai/free/en/authors/heng-ji/), [Dilek Hakkani-Tur](https://md.research.elamur.ai/free/en/authors/dilek-hakkani-tur/), [Xiusi Chen](https://md.research.elamur.ai/free/en/authors/xiusi-chen/). 6 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5139764426) · [**h-index 1**](https://openalex.org/authors/A5139764426) · [22 works](https://openalex.org/works?filter=author.id:A5139764426) · [7 citations](https://openalex.org/works?filter=author.id:A5139764426&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/cheng-qian/#papers) · [🔗 Cited 215 times in our library](https://md.research.elamur.ai/free/en/authors/cheng-qian/cited-by/) · [⭐ Paper Stars ranking: #6018](https://md.research.elamur.ai/free/en/paper-stars/page/61/#star-6018) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Cheng+Qian) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Cheng+Qian) · [dblp](https://dblp.org/search?q=Cheng+Qian) · [ACL Anthology](https://aclanthology.org/search/?q=Cheng+Qian) ## Affiliations [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2024–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🏢**Salesforce** San Francisco · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/salesforce/) 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. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/cheng-qian/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/cheng-qian/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/cheng-qian/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[ToolRL: Reward is All Tool Learning Needs](https://md.research.elamur.ai/free/en/papers/qian-2025-toolrl-reward-all-tool-learning/)** *(2025 · 94 citations)* Teaching LLMs to call external tools usually relies on supervised fine-tuning (SFT) over pre-generated trajectories. 2. **[CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models](https://md.research.elamur.ai/free/en/papers/qian-2023-creator-tool-creation-disentangling-abstract/)** *(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.… 3. **[RM-R1: Reward Modeling as Reasoning](https://md.research.elamur.ai/free/en/papers/chen-2025-rm-r1-reward-modeling-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… 4. **[Aligning LLMs with Individual Preferences via Interaction](https://md.research.elamur.ai/free/en/papers/wu-2025-aligning-llms-individual-preferences-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. 5. **[Current Agents Fail to Leverage World Model as Tool for Foresight](https://md.research.elamur.ai/free/en/papers/qian-2026-current-agents-fail-leverage-world/)** *(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. 6. **[Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks](https://md.research.elamur.ai/free/en/papers/zhang-2026-copyright-detective-forensic-system-evidence/)** *(2026)* Copyright Detective is an interactive forensic tool for collecting evidence that LLMs may reproduce copyrighted material. ## Co-authors here 12 of 32 co-authors with a page, the most papers together first. - [Heng Ji](https://md.research.elamur.ai/free/en/authors/heng-ji/) ×5 - [Dilek Hakkani-Tur](https://md.research.elamur.ai/free/en/authors/dilek-hakkani-tur/) ×3 - [Xiusi Chen](https://md.research.elamur.ai/free/en/authors/xiusi-chen/) ×3 - [Emre Can Acikgoz](https://md.research.elamur.ai/free/en/authors/emre-can-acikgoz/) ×2 - [Gokhan Tur](https://md.research.elamur.ai/free/en/authors/gokhan-tur/) ×2 - [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/) ×2 - [Yi Fung](https://md.research.elamur.ai/free/en/authors/yi-fung/) ×2 - [Ahmed Abbasi](https://md.research.elamur.ai/free/en/authors/ahmed-abbasi/) - [Bingxiang He](https://md.research.elamur.ai/free/en/authors/bingxiang-he/) - [Bingxuan Li](https://md.research.elamur.ai/free/en/authors/bingxuan-li/) - [Bo Li](https://md.research.elamur.ai/free/en/authors/bo-li/) - [Bowen Jin](https://md.research.elamur.ai/free/en/authors/bowen-jin/) ## 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)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/) ## Cited by Papers of our library cite their works 215 times (of the 149,439 papers whose bibliographies we read); [90 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/cheng-qian/cited-by/). Updated 2 November 2026