--- title: "Qi Han — author profile and papers · Evaluation & benchmarks" description: "Qi Han, StepFun AI: 2 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/qi-han/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qi-han/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qi Han # Qi Han Qi Han has 2 papers in our library, in 2025–2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Yinmin Zhang](https://md.research.elamur.ai/free/en/authors/yinmin-zhang/), [Chengyuan Yao](https://md.research.elamur.ai/free/en/authors/chengyuan-yao/), [Daxin Jiang](https://md.research.elamur.ai/free/en/authors/daxin-jiang/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139735976) · [**h-index 0**](https://openalex.org/authors/A5139735976) · [4 works](https://openalex.org/works?filter=author.id:A5139735976) · [0 citations](https://openalex.org/works?filter=author.id:A5139735976&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/qi-han/#papers) · [🔗 Cited 127 times in our library](https://md.research.elamur.ai/free/en/authors/qi-han/cited-by/) · [⭐ Paper Stars ranking: #6467](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6467) 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=Qi+Han) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qi+Han) · [dblp](https://dblp.org/search?q=Qi+Han) · [ACL Anthology](https://aclanthology.org/search/?q=Qi+Han) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**StepFun AI** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/stepfun-ai/) 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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) 🧭 Topics 2 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/qi-han/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/qi-han/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model](https://md.research.elamur.ai/free/en/papers/hu-2025-open-reasoner-zero-open-source/)** *(2025 · 128 citations)* DeepSeek-R1-Zero showed that reinforcement learning applied directly to a base language model can steadily improve reasoning, but its training recipe was only briefly described and not reproducible. 2. **[PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering](https://md.research.elamur.ai/free/en/papers/wang-2026-prime-process-outcome-alignment-benchmark/)** *(2026)* RLVR (reinforcement learning with verifiable rewards) relies on verifiers that usually check only whether a model's final answer matches the reference. ## Co-authors here 9 co-authors with a page, the most papers together first. - [Yinmin Zhang](https://md.research.elamur.ai/free/en/authors/yinmin-zhang/) ×2 - [Chengyuan Yao](https://md.research.elamur.ai/free/en/authors/chengyuan-yao/) - [Daxin Jiang](https://md.research.elamur.ai/free/en/authors/daxin-jiang/) - [Hangyu Guo](https://md.research.elamur.ai/free/en/authors/hangyu-guo/) - [Heung-Yeung Shum](https://md.research.elamur.ai/free/en/authors/heung-yeung-shum/) - [Jingcheng Hu](https://md.research.elamur.ai/free/en/authors/jingcheng-hu/) - [Liang Zhao](https://md.research.elamur.ai/free/en/authors/liang-zhao/) - [Tong Xu](https://md.research.elamur.ai/free/en/authors/tong-xu/) - [Xiangyu Zhang](https://md.research.elamur.ai/free/en/authors/xiangyu-zhang/) ## 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/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/) ## Cited by Papers of our library cite their works 127 times (of the 149,439 papers whose bibliographies we read); [37 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qi-han/cited-by/). Updated 1 November 2026