Wen-Ding Li

Google Scholar

I'm a PhD student at Cornell University working with Kevin Ellis. I'm interested in machine learning for code generation and reasoning tasks. Previously I worked at Google and X on large language models for code.

Publications

• Combining Induction and Transduction for Abstract Reasoning
  Wen-Ding Li*, Keya Hu*, Carter Larsen, Yuqing Wu, Simon Alford, Caleb Woo, Spencer M. Dunn, Hao Tang, Michelangelo Naim, Dat Nguyen, Wei-Long Zheng, Zenna Tavares, Yewen Pu, Kevin Ellis
  ARC-AGI Paper Award 1st Place
• Is Programming by Example solved by LLMs?
  Wen-Ding Li, Kevin Ellis.
  NeurIPS 2024
• LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
  Naman Jain, King Han, Alex Gu*, Wen-Ding Li*, Fanjia Yan*, Tianjun Zhang*, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica
• The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations?
  Alex Gu, Wen-Ding Li, Naman Jain, Theo X. Olausson, Celine Lee, Koushik Sen, Armando Solar-Lezama.
  ACL 2024
• StarCoder2 and The Stack v2: The Next Generation
  Anton Lozhkov, ..., Wen-Ding Li, ..., Leandro von Werra*, Harm de Vries*
• LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
  Kensen Shi, Hanjun Dai, Wen-Ding Li, Kevin Ellis, Charles Sutton.
  NeurIPS 2023
• Natural Language to Code Generation in Interactive Data Science Notebooks
  Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Alex Polozov, Charles Sutton.
  ACL 2023
• Toward Trustworthy Neural Program Synthesis
  Wen-Ding Li*,Darren Key*, Kevin Ellis
• Frobenius Additive Fast Fourier Transform
  Wen-Ding Li, Ming-Shing Chen, Po-Chun Kuo, Chen-Mou Cheng, Bo-Yin Yang.
  ISSAC 2018