--- title: "Jiazhan Feng · Peking University — author profile and papers" description: "Jiazhan Feng, Peking University: 3 papers on Elamur Research (2023–2025), h-index 8 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/jiazhan-feng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiazhan-feng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jiazhan Feng # Jiazhan Feng Jiazhan Feng has 3 papers in our library, in 2023–2025, 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 [Shijue Huang](https://md.research.elamur.ai/free/en/authors/shijue-huang/), [Wanjun Zhong](https://md.research.elamur.ai/free/en/authors/wanjun-zhong/), [Can Xu](https://md.research.elamur.ai/free/en/authors/can-xu/). 3 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5013569210) · [ORCID](https://orcid.org/0000-0002-5832-6199) · [Wikidata](https://www.wikidata.org/wiki/Q130845143) · [**h-index 8**](https://openalex.org/authors/A5013569210) · [44 works](https://openalex.org/works?filter=author.id:A5013569210) · [291 citations](https://openalex.org/works?filter=author.id:A5013569210&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jiazhan-feng/#papers) · [🔗 Cited 807 times in our library](https://md.research.elamur.ai/free/en/authors/jiazhan-feng/cited-by/) · [⭐ Paper Stars ranking: #3007](https://md.research.elamur.ai/free/en/paper-stars/page/31/#star-3007) 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=Jiazhan+Feng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiazhan+Feng) · [dblp](https://dblp.org/search?q=Jiazhan+Feng) · [ACL Anthology](https://aclanthology.org/search/?q=Jiazhan+Feng) ## Affiliations [🎓**Peking University** Beijing · China 2019–2026 · 28 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/jiazhan-feng/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jiazhan-feng/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[WizardLM: Empowering large pre-trained language models to follow complex instructions](https://md.research.elamur.ai/free/en/papers/xu-2023-wizardlm-empowering-large-pre-trained/)** *(2023 · 741 citations)* Open-domain instruction data written by people is costly to collect, and it contains few truly hard instructions. 2. **[ReTool: Reinforcement Learning for Strategic Tool Use in LLMs](https://md.research.elamur.ai/free/en/papers/feng-2025-retool-reinforcement-learning-strategic-tool/)** *(2025 · 88 citations)* RL-trained reasoning LLMs handle verbal reasoning well but often make mistakes on exact arithmetic, equation solving and symbolic manipulation. A code interpreter can do these steps reliably. ReTool, from ByteDance Seed, trains a model to decide on its own when and how to call such an interpreter while it reasons. 3. **[UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wang-2025-ui-tars-2-technical/)** *(2025 · 26 citations)* UI-TARS-2 (ByteDance Seed) is a native GUI agent: a single end-to-end policy that perceives, reasons, remembers and acts across desktops, phones, browsers and games. ## Co-authors here 12 of 22 co-authors with a page, the most papers together first. - [Shijue Huang](https://md.research.elamur.ai/free/en/authors/shijue-huang/) ×2 - [Wanjun Zhong](https://md.research.elamur.ai/free/en/authors/wanjun-zhong/) ×2 - [Can Xu](https://md.research.elamur.ai/free/en/authors/can-xu/) - [Chengquan Jiang](https://md.research.elamur.ai/free/en/authors/chengquan-jiang/) - [Chongyang Tao](https://md.research.elamur.ai/free/en/authors/chongyang-tao/) - [Daxin Jiang](https://md.research.elamur.ai/free/en/authors/daxin-jiang/) - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) - [Haoming Wang](https://md.research.elamur.ai/free/en/authors/haoming-wang/) - [Haoyang Zou](https://md.research.elamur.ai/free/en/authors/haoyang-zou/) - [Huatong Song](https://md.research.elamur.ai/free/en/authors/huatong-song/) - [Junjie Fang](https://md.research.elamur.ai/free/en/authors/junjie-fang/) - [Junting Lu](https://md.research.elamur.ai/free/en/authors/junting-lu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/): [ICLR 2023](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2023/) ## Cited by Papers of our library cite their works 807 times (of the 149,439 papers whose bibliographies we read); [254 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiazhan-feng/cited-by/). Updated 2 November 2026