--- title: "Tiantian Fan — author profile and papers — Elamur Research" description: "Tiantian Fan, ByteDance: 2 papers on Elamur Research (2025), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/tiantian-fan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tiantian-fan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tiantian Fan # Tiantian Fan Tiantian Fan has 2 papers in our library, in 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 [Lingjun Liu](https://md.research.elamur.ai/free/en/authors/lingjun-liu/), [Xin Liu](https://md.research.elamur.ai/free/en/authors/xin-liu/), [Yu Yue](https://md.research.elamur.ai/free/en/authors/yu-yue/). 2 papers in our library · 2025 [OpenAlex](https://openalex.org/A5126300305) · [**h-index 1**](https://openalex.org/authors/A5126300305) · [2 works](https://openalex.org/works?filter=author.id:A5126300305) · [23 citations](https://openalex.org/works?filter=author.id:A5126300305&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tiantian-fan/#papers) · [🔗 Cited 678 times in our library](https://md.research.elamur.ai/free/en/authors/tiantian-fan/cited-by/) · [⭐ Paper Stars ranking: #2773](https://md.research.elamur.ai/free/en/paper-stars/page/28/#star-2773) 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=Tiantian+Fan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tiantian+Fan) · [dblp](https://dblp.org/search?q=Tiantian+Fan) · [ACL Anthology](https://aclanthology.org/search/?q=Tiantian+Fan) ## Affiliations [🏢**ByteDance** Beijing · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/bytedance/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 6 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [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/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](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 Tiantian Fan's papers of 2025](https://md.research.elamur.ai/free/en/authors/tiantian-fan/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[DAPO: An Open-Source LLM Reinforcement Learning System at Scale](https://md.research.elamur.ai/free/en/papers/yu-2025-dapo-open-source-llm-reinforcement/)** *(2025 · 634 citations)* Recent reasoning LLMs owe much of their strength to large-scale reinforcement learning, but their reports leave out the recipe, so outside groups struggle to match their results. 2. **[Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/bytedance-seed-2025-seed1-5-thinking-advancing/)** *(2025 · 61 citations)* Seed1.5-Thinking is a reasoning model from ByteDance Seed. It works through an extended chain of thought before giving its answer. The authors identify three factors behind strong reasoning models: training data, a stable RL algorithm and scalable RL infrastructure. ## Co-authors here 8 co-authors with a page, the most papers together first. - [Lingjun Liu](https://md.research.elamur.ai/free/en/authors/lingjun-liu/) ×2 - [Xin Liu](https://md.research.elamur.ai/free/en/authors/xin-liu/) ×2 - [Yu Yue](https://md.research.elamur.ai/free/en/authors/yu-yue/) ×2 - [Yufeng Yuan](https://md.research.elamur.ai/free/en/authors/yufeng-yuan/) ×2 - [Chengyi Wang](https://md.research.elamur.ai/free/en/authors/chengyi-wang/) - [Haibin Lin](https://md.research.elamur.ai/free/en/authors/haibin-lin/) - [Mingxuan Wang](https://md.research.elamur.ai/free/en/authors/mingxuan-wang/) - [Zheng Zhang](https://md.research.elamur.ai/free/en/authors/zheng-zhang/) ## Cited by Papers of our library cite their works 678 times (of the 141,840 papers whose bibliographies we read); [16 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tiantian-fan/cited-by/). Updated 24 October 2026