--- title: "Xuehai He — author profile and papers — Elamur Research" description: "Xuehai He: 2 papers on Elamur Research (2025) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xuehai-he/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xuehai-he/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xuehai He # Xuehai He Xuehai He 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 [Shuohang Wang](https://md.research.elamur.ai/free/en/authors/shuohang-wang/), [Baolin Peng](https://md.research.elamur.ai/free/en/authors/baolin-peng/), [Hao Cheng](https://md.research.elamur.ai/free/en/authors/hao-cheng/). 2 papers in our library · 2025 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xuehai-he/#papers) · [🔗 Cited 105 times in our library](https://md.research.elamur.ai/free/en/authors/xuehai-he/cited-by/) · [⭐ Paper Stars ranking: #7710](https://md.research.elamur.ai/free/en/paper-stars/page/78/#star-7710) 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=Xuehai+He) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xuehai+He) · [dblp](https://dblp.org/search?q=Xuehai+He) · [ACL Anthology](https://aclanthology.org/search/?q=Xuehai+He) ## 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 · 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/) · [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/) · [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 · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/xuehai-he/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Reinforcement Learning for Reasoning in Large Language Models with One Training Example](https://md.research.elamur.ai/free/en/papers/wang-2025-reinforcement-learning-reasoning-large-language/)** *(2025 · 87 citations)* The paper asks how small a training set can be for reinforcement learning with verifiable reward (RLVR). RLVR is the outcome-rewarded RL now used to strengthen math reasoning in LLMs. The authors draw a random sample of 1,209 problems from the DeepScaleR dataset (DSR-sub). They rank each problem by how much its… 2. **[Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space](https://md.research.elamur.ai/free/en/papers/zhang-2025-soft-thinking-unlocking-reasoning-potential/)** *(2025 · 25 citations)* Standard Chain-of-Thought (CoT) decoding forces an LLM to pick a single discrete token at every reasoning step. ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Shuohang Wang](https://md.research.elamur.ai/free/en/authors/shuohang-wang/) ×2 - [Baolin Peng](https://md.research.elamur.ai/free/en/authors/baolin-peng/) - [Hao Cheng](https://md.research.elamur.ai/free/en/authors/hao-cheng/) - [Jianfeng Gao](https://md.research.elamur.ai/free/en/authors/jianfeng-gao/) - [Kuan Wang](https://md.research.elamur.ai/free/en/authors/kuan-wang/) - [Liliang Ren](https://md.research.elamur.ai/free/en/authors/liliang-ren/) - [Liyuan Liu](https://md.research.elamur.ai/free/en/authors/liyuan-liu/) - [Qing Yang](https://md.research.elamur.ai/free/en/authors/qing-yang/) - [Weizhu Chen](https://md.research.elamur.ai/free/en/authors/weizhu-chen/) - [Xin Eric Wang](https://md.research.elamur.ai/free/en/authors/xin-eric-wang/) - [Yelong Shen](https://md.research.elamur.ai/free/en/authors/yelong-shen/) - [Yiping Wang](https://md.research.elamur.ai/free/en/authors/yiping-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) ×2: [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/) ×2 ## Cited by Papers of our library cite their works 105 times (of the 149,439 papers whose bibliographies we read); [36 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xuehai-he/cited-by/). Updated 2 November 2026