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Wen-Ding Li

Wen-Ding Li has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Code & programming languages; often with Abhishek Rao, Alex Gu, Armando Solar-Lezama.

2 papers in our library · 2023–2024

OpenAlex · h-index 8 · 22 works · 208 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 737 times in our library · ⭐ Paper Stars ranking: #3671

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

🎓Cornell UniversityIthaca · United States2022–2024 · 3 papers🏢GoogleMountain View · United States2022–2023 · 2 papers🔬Academia SinicaTaipei · Taiwan2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 worksComputer Science Applications · 1 work

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

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code (2024 · 578 citations)
    Widely used code benchmarks such as HumanEval and MBPP have become saturated. They also risk leaking into training data, and they test only one skill: turning a natural-language description into code. LiveCodeBench addresses these problems with a benchmark that keeps growing. It collects fresh problems from weekly…
  2. Natural Language to Code Generation in Interactive Data Science Notebooks (2023 · 63 citations)
    Data scientists often work in Jupyter-style notebooks, where each new request to an AI coding assistant depends on earlier cells, their execution state, and previous requests.

 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 737 times (of the 149,439 papers whose bibliographies we read); 228 citing papers with a page here →.

Updated

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