--- title: "Yuxuan Tong — author profile and papers · Reasoning" description: "Yuxuan Tong: 2 papers on Elamur Research (2024–2025) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yuxuan-tong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuxuan-tong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuxuan Tong # Yuxuan Tong Yuxuan Tong has 2 papers in our library, in 2024–2025, 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/); often with [Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/), [Junxian He](https://md.research.elamur.ai/free/en/authors/junxian-he/), [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/). 2 papers in our library · 2024–2025 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuxuan-tong/#papers) · [🔗 Cited 197 times in our library](https://md.research.elamur.ai/free/en/authors/yuxuan-tong/cited-by/) · [⭐ Paper Stars ranking: #6472](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6472) 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=Yuxuan+Tong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuxuan+Tong) · [dblp](https://dblp.org/search?q=Yuxuan+Tong) · [ACL Anthology](https://aclanthology.org/search/?q=Yuxuan+Tong) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 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/) · [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.[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/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yuxuan-tong/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yuxuan-tong/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Demystifying Long Chain-of-Thought Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/yeo-2025-demystifying-long-chain-thought-reasoning/)** *(2025 · 119 citations)* The paper investigates how large language models acquire long chain-of-thought (CoT) reasoning, meaning extended traces that include branching, backtracking and self-correction, and which training choices make this behaviour appear reliably. 2. **[DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving](https://md.research.elamur.ai/free/en/papers/tong-2024-dart-math-difficulty-aware-rejection/)** *(2024 · 81 citations)* Instruction tuning on synthetic solutions is a common way to improve LLM math reasoning. Such data usually comes from rejection sampling: a strong model generates several answers per problem, and wrong ones are discarded. The authors show this skews datasets toward easy problems. In MetaMathQA's MATH-derived AnsAug… ## Co-authors here 5 co-authors with a page, the most papers together first. - [Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/) - [Junxian He](https://md.research.elamur.ai/free/en/authors/junxian-he/) - [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/) - [Xiang Yue](https://md.research.elamur.ai/free/en/authors/xiang-yue/) - [Xiwen Zhang](https://md.research.elamur.ai/free/en/authors/xiwen-zhang/) ## Cited by Papers of our library cite their works 197 times (of the 149,439 papers whose bibliographies we read); [74 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuxuan-tong/cited-by/). Updated 2 November 2026