---
title: "Yifei Liu · Central South University — author profile and papers"
description: "Yifei Liu, Central South University: 3 papers on Elamur Research (2025), h-index 10 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/yifei-liu/"
---
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# Yifei Liu

Yifei Liu has 3 papers in our library, in 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 [Li Lyna Zhang](https://md.research.elamur.ai/free/en/authors/li-lyna-zhang/), [Ning Shang](https://md.research.elamur.ai/free/en/authors/ning-shang/), [Yi Zhu](https://md.research.elamur.ai/free/en/authors/yi-zhu/).

3 papers in our library · 2025

[OpenAlex](https://openalex.org/A5100352572) · [ORCID](https://orcid.org/0009-0005-7427-0024) · [Wikidata](https://www.wikidata.org/wiki/Q130804491) · [**h-index 10**](https://openalex.org/authors/A5100352572) · [50 works](https://openalex.org/works?filter=author.id:A5100352572) · [2,119 citations](https://openalex.org/works?filter=author.id:A5100352572&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yifei-liu/#papers) · [🔗 Cited 242 times in our library](https://md.research.elamur.ai/free/en/authors/yifei-liu/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6077](https://md.research.elamur.ai/free/en/paper-stars/page/61/#star-6077)

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=Yifei+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yifei+Liu) · [dblp](https://dblp.org/search?q=Yifei+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Yifei+Liu)

## Affiliations

[🎓**Zhejiang University** Hangzhou · China 2022–2026 · 15 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Beijing University of Technology** Beijing · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-university-of-technology/) · [🎓**Xiamen University** Xiamen · China 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/xiamen-university/) · [🎓**Central South University** Changsha · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/central-south-university/) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🎓**Nanjing University of Science and Technology** Nanjing · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-science-and-technology/) · [🏥**Second Xiangya Hospital of Central South University** Changsha · China 2025–2026 · 2 papers*current*](https://ror.org/053v2gh09) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🏥**Tongji Hospital** Wuhan · China 2026 · 1 paper*current*](https://ror.org/04xy45965) · [🎓**Peking University** Beijing · China 2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/peking-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 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 9 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/) · [Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [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/) · [Applied Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 3 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** 3 papers](https://md.research.elamur.ai/free/en/authors/yifei-liu/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking](https://md.research.elamur.ai/free/en/papers/guan-2025-rstar-math-small-llms-can/)** *(2025 · 146 citations)* Most math-reasoning LLMs learn from chain-of-thought data distilled from a stronger teacher such as GPT-4.
2. **[rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset](https://md.research.elamur.ai/free/en/papers/liu-2025-rstar-coder-scaling-competitive/)** *(2025 · 8 citations)* Training LLMs for competitive programming is limited by a lack of hard problems that come with trustworthy input-output tests.
3. **[rStar2-Agent: Agentic Reasoning Technical Report](https://md.research.elamur.ai/free/en/papers/shang-2025-rstar2-agent-agentic-reasoning/)** *(2025 · 6 citations)* Long chain-of-thought reasoning helps LLMs on hard math, but models that rely only on internal self-checking often miss subtle mistakes.

## All works

7 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. [**rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking arXiv:2501.04519**Xinyu Guan, Li Lyna Zhang, Yifei Liu, et al.*2025 · 146 citations*](https://md.research.elamur.ai/free/en/papers/guan-2025-rstar-math-small-llms-can/)
2. **[Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration ↗](https://aclanthology.org/2023.emnlp-main.740/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yiquan Wu et al.*2023 · 104 citations*
3. **[Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework ↗](https://aclanthology.org/2022.emnlp-main.316/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yiquan Wu et al.*2022 · 61 citations*
4. **[Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge ↗](https://aclanthology.org/2024.findings-naacl.177/) Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yet**Yifei Liu et al.*2024 · 12 citations*
5. **[rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset](https://md.research.elamur.ai/free/en/papers/liu-2025-rstar-coder-scaling-competitive/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yifei Liu, Li Lyna Zhang, Yi Zhu, et al.*2025 · 8 citations*
6. **[UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever ↗](https://aclanthology.org/2025.acl-long.584/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Ang Li et al.*2025 · 8 citations*
7. [**rStar2-Agent: Agentic Reasoning Technical Report arXiv:2508.20722**Ning Shang, Yifei Liu, Yi Zhu, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/shang-2025-rstar2-agent-agentic-reasoning/)

## Co-authors here

10 co-authors with a page, the most papers together first.

- [Li Lyna Zhang](https://md.research.elamur.ai/free/en/authors/li-lyna-zhang/) ×3
- [Ning Shang](https://md.research.elamur.ai/free/en/authors/ning-shang/) ×3
- [Yi Zhu](https://md.research.elamur.ai/free/en/authors/yi-zhu/) ×3
- [Bingcheng Dong](https://md.research.elamur.ai/free/en/authors/bingcheng-dong/) ×2
- [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/) ×2
- [Mao Yang](https://md.research.elamur.ai/free/en/authors/mao-yang/) ×2
- [Xinyu Guan](https://md.research.elamur.ai/free/en/authors/xinyu-guan/) ×2
- [Xudong Zhou](https://md.research.elamur.ai/free/en/authors/xudong-zhou/) ×2
- [Bowen Zhang](https://md.research.elamur.ai/free/en/authors/bowen-zhang/)
- [Ying Xin](https://md.research.elamur.ai/free/en/authors/ying-xin/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing ×2
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)
- Findings of the Association for Computational Linguistics: NAACL 2024
- Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

## Cited by

Papers of our library cite their works 242 times (of the 149,439 papers whose bibliographies we read); [48 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yifei-liu/cited-by/).

Updated 30 October 2026
