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Peiyang Song

Peiyang Song has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Reasoning, Information retrieval & search; often with Anima Anandkumar, Kaiyu Yang, Aidan Swope.

2 papers in our library · 2023–2024

OpenAlex · h-index 3 · 21 works · 80 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 224 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5799

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

🎓California Institute of TechnologyPasadena · United States2024–2026 · 10 paperscurrent🎓Carnegie Mellon UniversityPittsburgh · United States2026 · 4 paperscurrent

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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputational Theory and Mathematics · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workMathematics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 2 worksInformation retrieval & search · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Retrieval-augmented generation · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. LeanDojo: Theorem Proving with Retrieval-Augmented Language Models (2023 · 253 citations)
    Research on machine learning for formal theorem proving has been hard to reproduce and build on. Earlier LLM-based provers kept their code and training data private, and some needed thousands of GPU-days of compute. The authors respond with LeanDojo, an open toolkit for the Lean proof assistant. It uses Lean 3 by…
  2. Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean (2024 · 39 citations)
    Existing LLM-based provers for Lean usually run autonomously on a backend server. They often fail on genuinely new theorems or on mathematical domains outside their training data. This paper instead treats LLMs as assistants that work alongside humans inside Lean itself. The authors present Lean Copilot, a framework…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. LeanDojo: Theorem Proving with Retrieval-Augmented Language ModelsConference on Neural Information Processing Systems (NeurIPS)Kaiyu Yang, Aidan M. Swope, Alex Gu, et al.2023 · 253 citations
  2. Lean Copilot: Large Language Models as Copilots for Theorem Proving in LeanarXiv:2404.12534Peiyang Song, Kaiyu Yang, Anima Anandkumar2024 · 39 citations
  3. Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skills ↗arXiv (Cornell University) · no summary yetJiang, Pengcheng et al.2025 · 3 citations

 Co-authors here

6 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 224 times (of the 149,439 papers whose bibliographies we read); 97 citing papers with a page here →.

Updated

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