--- title: "Yuxin Li — author profile and papers — Elamur Research" description: "Yuxin Li, University of Science and Technology of China: 4 papers on Elamur Research (2025–2026), h-index 4 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/yuxin-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuxin-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuxin Li # Yuxin Li Yuxin Li has 4 papers in our library, in 2025–2026, 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/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Ruida Wang](https://md.research.elamur.ai/free/en/authors/ruida-wang/), [Tong Zhang](https://md.research.elamur.ai/free/en/authors/tong-zhang/), [Yi Fung](https://md.research.elamur.ai/free/en/authors/yi-fung/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5022696835) · [ORCID](https://orcid.org/0009-0007-4504-855X) · [**h-index 4**](https://openalex.org/authors/A5022696835) · [10 works](https://openalex.org/works?filter=author.id:A5022696835) · [118 citations](https://openalex.org/works?filter=author.id:A5022696835&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yuxin-li/#papers) · [🔗 Cited 33 times in our library](https://md.research.elamur.ai/free/en/authors/yuxin-li/cited-by/) · [⭐ Paper Stars ranking: #8334](https://md.research.elamur.ai/free/en/paper-stars/page/84/#star-8334) 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=Yuxin+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuxin+Li) · [dblp](https://dblp.org/search?q=Yuxin+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Yuxin+Li) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2024–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Science and Technology of China** Hefei · China 2024–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🔬**Institute of Plasma Physics** Hefei · China 2026 · 1 paper*current*](https://ror.org/033cbzv42) · [🎓**Southern Medical University** Guangzhou · China 2018–2023 · 2 papers](https://ror.org/01vjw4z39) · [🔬**Southwestern Institute of Physics** Chengdu · China 2019–2023 · 2 papers](https://ror.org/05vrdx898) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computational Theory and Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Language and Linguistics · 3 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/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 4 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/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yuxin-li/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/yuxin-li/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving](https://md.research.elamur.ai/free/en/papers/wang-2025-ma-lot-model-collaboration-lean/)** *(2025 · 18 citations)* The paper addresses automated theorem proving in Lean4. Current LLM approaches fall into two camps. Step-by-step tree search uses verifier feedback but is costly and lacks high-level planning. Whole-proof generation exploits natural-language reasoning but never sees intermediate verifier signals. MA-LoT bridges these… 2. **[Let's Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM's Math Capability](https://md.research.elamur.ai/free/en/papers/wang-2025-let-s-reason-formally-natural/)** *(2025 · 7 citations)* Reinforcement learning on base models has improved LLM math reasoning, but it mostly sharpens skills the model already has. 3. **[Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/guo-2026-mathematical-proof-as-litmus-test/)** *(2026 · 5 citations)* Popular math benchmarks such as AIME have few items and check only final numerical answers, so the strong scores of large reasoning models can hide flawed reasoning. 4. **[Step-Audio-R1 Technical Report](https://md.research.elamur.ai/free/en/papers/tian-2025-step-audio-r1-technical/)** *(2025 · 3 citations)* Audio language models usually perform worse when they reason at length, which runs against the test-time compute scaling seen in text and vision models. ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Ruida Wang](https://md.research.elamur.ai/free/en/authors/ruida-wang/) ×2 - [Tong Zhang](https://md.research.elamur.ai/free/en/authors/tong-zhang/) ×2 - [Yi Fung](https://md.research.elamur.ai/free/en/authors/yi-fung/) ×2 - [Chengyuan Yao](https://md.research.elamur.ai/free/en/authors/chengyuan-yao/) - [Dadi Guo](https://md.research.elamur.ai/free/en/authors/dadi-guo/) - [Donghang Wu](https://md.research.elamur.ai/free/en/authors/donghang-wu/) - [Fei Tian](https://md.research.elamur.ai/free/en/authors/fei-tian/) - [Haoran Li](https://md.research.elamur.ai/free/en/authors/haoran-li/) - [Haoyang Zhang](https://md.research.elamur.ai/free/en/authors/haoyang-zhang/) - [Hexin Liu](https://md.research.elamur.ai/free/en/authors/hexin-liu/) - [Jiayu Liu](https://md.research.elamur.ai/free/en/authors/jiayu-liu/) - [Jipeng Zhang](https://md.research.elamur.ai/free/en/authors/jipeng-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ## Cited by Papers of our library cite their works 33 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuxin-li/cited-by/). Updated 31 October 2026