🧑‍🔬 Yifei Liu

🏛️ Affiliations

🎓Zhejiang UniversityHangzhou · China2022–2026 · 15 paperscurrent🎓Beijing University of TechnologyBeijing · China2024–2026 · 3 paperscurrent🎓Xiamen UniversityXiamen · China2025–2026 · 3 paperscurrent🎓Central South UniversityChangsha · China2025–2026 · 2 paperscurrent🎓Huazhong University of Science and TechnologyWuhan · China2025–2026 · 2 paperscurrent🎓Nanjing University of Science and TechnologyNanjing · China2025–2026 · 2 paperscurrent🏥Second Xiangya Hospital of Central South UniversityChangsha · China2025–2026 · 2 paperscurrent🎓Shanghai Jiao Tong UniversityShanghai · China2026 · 1 papercurrent🏥Tongji HospitalWuhan · China2026 · 1 papercurrent🎓Peking UniversityBeijing · China2025 · 2 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking (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 (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 (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 ThinkingarXiv:2501.04519Xinyu Guan, Li Lyna Zhang, Yifei Liu, et al.2025 · 146 citations
2. Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetYiquan Wu et al.2023 · 104 citations
3. Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetYiquan Wu et al.2022 · 61 citations
4. Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge ↗Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yetYifei Liu et al.2024 · 12 citations
5. rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified DatasetConference on Neural Information Processing Systems (NeurIPS)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 ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetAng Li et al.2025 · 8 citations
7. rStar2-Agent: Agentic Reasoning Technical ReportarXiv:2508.20722Ning Shang, Yifei Liu, Yi Zhu, et al.2025 · 6 citations

🤝 Co-authors here

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

• Li Lyna Zhang ×3
• Ning Shang ×3
• Yi Zhu ×3
• Bingcheng Dong ×2
• Fan Yang ×2
• Mao Yang ×2
• Xinyu Guan ×2
• Xudong Zhou ×2
• Bowen Zhang
• 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): NeurIPS 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 →.

Updated 30 October 2026

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