Kexin Pei
Kexin Pei has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Alexander Wettig, Carlos E. Jimenez, John Yang.
OpenAlex · ORCID · Wikidata · h-index 20 · 30 works · 4,206 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 635 times in our library · ⭐ Paper Stars ranking: #3435
Affiliations
🎓University of ChicagoChicago ·
United States2023–2026 · 3 papers🎓Columbia UniversityNew York ·
United States2016–2024 · 20 papers🎓Purdue University West LafayetteWest Lafayette ·
United States2015–2016 · 2 papers
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksInformation Systems · 2 worksSoftware · 2 worksArtificial Intelligence · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
Works by year
2020s
Papers
- SWE-bench: Can Language Models Resolve Real-World GitHub Issues? (2024 · 704 citations)
Existing coding benchmarks such as HumanEval mostly test short, self-contained functions, so they say little about whether language models can do real software maintenance. - SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair (2026)
LLM-based code repair often produces patches that look plausible but break program semantics or leave the security flaw in place.
Co-authors here
- Alexander Wettig
- Carlos E. Jimenez
- John Yang
- Karthik Narasimhan
- Kevin Leach
- Ofir Press
- Shunyu Yao
- Yifan Zhang
- Yu Huang
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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