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Peng Ye

Peng Ye has 2 papers in our library, in 2026, most of them on Language models & pretraining, Information retrieval & search; often with Lei Bai, Shuyue Hu, Wanli Ouyang.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 7 · 47 works · 199 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 7 times in our library · ⭐ Paper Stars ranking: #10174

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

🎓Fudan UniversityShanghai · China2022–2026 · 14 paperscurrent🎓Duke UniversityDurham · United States2024–2026 · 13 paperscurrent🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2024–2026 · 8 paperscurrent🎓Chinese University of Hong KongHong Kong · China2025–2026 · 3 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

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

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Nature-Inspired Population-Based Evolution of Large Language Models (2026 · 8 citations)
    The paper frames a new problem: how to improve a whole group of large language models by treating it as an evolving population rather than tuning one model.
  2. A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement (2026)
    Systems that combine several LLMs struggle to scale. Router-based approaches need retraining whenever a model is added or depend on coarse skill labels. Answer-selection approaches judge outputs with a single criterion and only pick from responses that already exist. SMCS (Scalable Multi-LLM Collaboration System)…

 Co-authors here

9 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 7 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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