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Peiji Li

Peiji Li has 3 papers in our library, in 2025–2026, most of them on Code & programming languages; often with Linyang Li, Qipeng Guo, Yichuan Ma.

3 papers in our library · 2025–2026

OpenAlex · h-index 6 · 17 works · 488 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 17 times in our library · ⭐ Paper Stars ranking: #9273

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 · China2024–2025 · 3 paperscurrent🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2024–2025 · 3 paperscurrent🎓China Pharmaceutical UniversityNanjing · China2025 · 1 papercurrent🏛️Chinese Academy of SciencesBeijing · China1999–2007 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 10The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksDecision Sciences · 1 workManagement Science and Operations Research · 1 workMathematics · 1 workStatistics and Probability · 1 workComputer Science Applications · 1 workInformation Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.Code & programming languages · 1 work

 Works by year

2020s

20261 paper20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. FastMCTS: A Simple Sampling Strategy for Data Synthesis (2025 · 8 citations)
    Reasoning datasets for training LLMs are usually built with rejection sampling: many full solutions are drawn independently, and only those whose final answer matches the reference are kept.
  2. Case2Code: Scalable Synthetic Data for Code Generation (2025 · 7 citations)
    Code LLMs are often improved with synthetic instruction data, but this data usually comes from a strong teacher model.
  3. Timely Machine: Awareness of Time Makes Test-Time Scaling Agentic (2026 · 2 citations)
    In agentic settings, LLMs call tools whose latency varies, so the length of a model's generation no longer reflects how long a task takes.

 Co-authors here

12 of 15 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 17 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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