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Yuxin Li

Yuxin Li has 4 papers in our library, in 2025–2026, most of them on Reasoning, Language models & pretraining, Speech & spoken language; often with Ruida Wang, Tong Zhang, Yi Fung.

4 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 4 · 10 works · 118 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 33 times in our library · ⭐ Paper Stars ranking: #8334

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

 Affiliations

🏛️Chinese Academy of SciencesBeijing · China2024–2026 · 2 paperscurrent🎓University of Science and Technology of ChinaHefei · China2024–2026 · 2 paperscurrent🔬Institute of Plasma PhysicsHefei · China2026 · 1 papercurrent🎓Southern Medical UniversityGuangzhou · China2018–2023 · 2 papers🔬Southwestern Institute of PhysicsChengdu · China2019–2023 · 2 papers

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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArtificial Intelligence · 4 worksArts and Humanities · 3 worksComputational Theory and Mathematics · 2 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workSignal Processing · 1 work

🧭 Topics 3Research subjects and languages the work is about.Reasoning · 4 worksLanguage models & pretraining · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20261 paper20253 papers

 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 (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 (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 (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 (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.

Venues

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

 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 →.

Updated

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