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Yanjun Shao

Yanjun Shao has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning; often with Xiangru Tang, Arman Cohan, Kaikai An.

3 papers in our library · 2023–2026

OpenAlex · h-index 4 · 14 works · 148 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 242 times in our library · ⭐ Paper Stars ranking: #7771

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

🎓Hebei Agricultural UniversityBaoding · China2007–2014 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 9The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 1 workMaterials Science · 2 worksArtificial Intelligence · 2 worksMaterials Chemistry · 2 worksInformation Systems · 1 workLanguage and Linguistics · 1 workComputational Theory and Mathematics · 1 workComputer Vision and Pattern Recognition · 1 work

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

 Works by year

2020s

20261 paper20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code (2023 · 33 citations)
    ML-Bench tests whether LLMs and autonomous agents can use real machine-learning GitHub repositories as libraries.
  2. ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning (2025 · 15 citations)
    Large language models often fail at multi-step chemistry problems. They misuse domain formulas, choose wrong constants or units, and make arithmetic slips that carry through later steps. They also write faulty Python for calculations. Earlier fixes such as StructChem prompting or self-reflection rely on fixed…
  3. SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science (2026 · 3 citations)
    LLM-powered data science agents such as Agent K, AutoKaggle and Data Interpreter usually follow one fixed chain of steps.

 Co-authors here

12 of 14 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 242 times (of the 149,439 papers whose bibliographies we read); 54 citing papers with a page here →.

Updated

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