--- title: "Xiangpeng Wei — author profile and papers · Reasoning" description: "Xiangpeng Wei, Chinese Academy of Sciences: 3 papers on Elamur Research (2023–2025), h-index 10 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/xiangpeng-wei/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiangpeng-wei/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiangpeng Wei # Xiangpeng Wei Xiangpeng Wei has 3 papers in our library, in 2023–2025, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Chengyi Wang](https://md.research.elamur.ai/free/en/authors/chengyi-wang/), [Jiaze Chen](https://md.research.elamur.ai/free/en/authors/jiaze-chen/), [TianTian Fan](https://md.research.elamur.ai/free/en/authors/tiantian-fan/). 3 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5101086828) · [**h-index 10**](https://openalex.org/authors/A5101086828) · [39 works](https://openalex.org/works?filter=author.id:A5101086828) · [301 citations](https://openalex.org/works?filter=author.id:A5101086828&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/xiangpeng-wei/#papers) · [🔗 Cited 868 times in our library](https://md.research.elamur.ai/free/en/authors/xiangpeng-wei/cited-by/) · [⭐ Paper Stars ranking: #6124](https://md.research.elamur.ai/free/en/paper-stars/page/62/#star-6124) 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=Xiangpeng+Wei) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiangpeng+Wei) · [dblp](https://dblp.org/search?q=Xiangpeng+Wei) · [ACL Anthology](https://aclanthology.org/search/?q=Xiangpeng+Wei) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2019–2025 · 13 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Information Engineering** Beijing · China 2019–2025 · 12 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-information-engineering/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2018–2021 · 11 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏢**Alibaba DAMO Academy** Hangzhou · China 2022–2023 · 5 papers](https://md.research.elamur.ai/free/en/companies/alibaba-damo-academy/) · [🏢**Alibaba Group** Hangzhou · China 2022–2023 · 5 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## 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).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/xiangpeng-wei/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/xiangpeng-wei/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[PolyLM: An Open Source Polyglot Large Language Model](https://md.research.elamur.ai/free/en/papers/wei-2023-polylm-open-source-polyglot-large/)** *(2023 · 103 citations)* Most open LLMs are trained mainly on English, so they handle many widely spoken languages poorly. Open multilingual instruction data and a shared multilingual evaluation suite are also missing. Researchers at Alibaba's DAMO Academy tackle all three gaps. They pre-train PolyLM from scratch in two sizes, 1.7B and 13B… 2. **[VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks](https://md.research.elamur.ai/free/en/papers/yue-2025-vapo-efficient-reliable-reinforcement-learning/)** *(2025 · 68 citations)* Most RL work on long chain-of-thought reasoning uses critic-free methods such as GRPO and DAPO. These skip the value model and estimate advantages from group rewards. ByteDance Seed's VAPO argues that a learned value model has more potential, because it gives per-token credit assignment and lower-variance estimates… 3. **[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 · 62 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 12 of 20 co-authors with a page, the most papers together first. - [Chengyi Wang](https://md.research.elamur.ai/free/en/authors/chengyi-wang/) ×2 - [Jiaze Chen](https://md.research.elamur.ai/free/en/authors/jiaze-chen/) ×2 - [TianTian Fan](https://md.research.elamur.ai/free/en/authors/tiantian-fan/) ×2 - [Wenyuan Xu](https://md.research.elamur.ai/free/en/authors/wenyuan-xu/) ×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 - [ByteDance Seed](https://md.research.elamur.ai/free/en/authors/bytedance-seed/) - [Haoran Wei](https://md.research.elamur.ai/free/en/authors/haoran-wei/) - [Huan Lin](https://md.research.elamur.ai/free/en/authors/huan-lin/) - [Lingjun Liu](https://md.research.elamur.ai/free/en/authors/lingjun-liu/) - [Mingxuan Wang](https://md.research.elamur.ai/free/en/authors/mingxuan-wang/) - [Pei Zhang](https://md.research.elamur.ai/free/en/authors/pei-zhang/) ## Cited by Papers of our library cite their works 868 times (of the 149,439 papers whose bibliographies we read); [275 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiangpeng-wei/cited-by/). Updated 2 November 2026