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Yuqiang Li

Yuqiang Li has 3 papers in our library, in 2024–2025, most of them on Language models & pretraining, Reasoning; often with Dongzhan Zhou, Tong Xie, Wanli Ouyang.

3 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 5 · 12 works · 103 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 143 times in our library · ⭐ Paper Stars ranking: #8170

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

🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2024–2026 · 3 paperscurrent🔬Shanghai Astronomical ObservatoryShanghai · China2019–2025 · 4 papersEmployment 2019–2025 · PhD🏛️Chinese Academy of SciencesBeijing · China2011–2024 · 4 papers🎓University of Chinese Academy of SciencesBeijing · China2021–2024 · 3 papers🔬Korea Astronomy and Space Science InstituteDaejeon · South Korea2025Employment since 2025 · postdoctor

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 11The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksApplied Mathematics · 1 workMathematics · 1 workMaterials Science · 1 workComputational Theory and Mathematics · 1 workMaterials Chemistry · 1 workComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

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

 Works by year

2020s

20251 paper20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning (2024 · 49 citations)
    LLaMA-Berry is a framework that helps LLMs solve hard math problems, especially at Olympiad level, without retraining the base model. It tackles two weaknesses. Stepwise generation gets little feedback along the way. Iterative self-correction tends to stall in poor local solutions.
  2. MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses (2024 · 36 citations)
    The paper asks whether LLMs can independently propose new, valid chemistry hypotheses when given only a research background (a question and/or a short survey) from any subfield.
  3. ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition (2025 · 25 citations)
    Scientific hypothesis generation has had no dedicated benchmark for LLMs. ResearchBench addresses this by building on a decomposition from MOOSE-Chem. In that view, a hypothesis comes from combining a research background with one or more inspirations. Discovery can then be split into three sub-tasks: finding…

 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 143 times (of the 149,439 papers whose bibliographies we read); 47 citing papers with a page here →.

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