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Yuxuan Tong

Yuxuan Tong has 2 papers in our library, in 2024–2025, most of them on Reasoning, Language models & pretraining; often with Graham Neubig, Junxian He, Rui Wang.

2 papers in our library · 2024–2025

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📄 2 works in our library · 🔗 Cited 197 times in our library · ⭐ Paper Stars ranking: #6472

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workComputational Theory and Mathematics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Demystifying Long Chain-of-Thought Reasoning in LLMs (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 (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.

 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 →.

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