Author

Pierre Chambon

h-index 2 View on Semantic Scholar

We have 2 of 7 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Preprint Mar 2025

BigO(Bench): Can LLMs Generate Code with Controlled Time and Space Complexity?

BigO(Bench) is introduced, a novel coding benchmark designed to evaluate the capabilities of generative language models in understanding and generating code with specified time and space complexities, and results from evaluating multiple state-of-the-art language models on this benchmark are presented.

Pierre Chambon, Baptiste Rozière, Benoît Sagot et al. · 11 citations

#machine learning Jul 2026

Reinforcement Learning for Code Optimization

This work makes execution time learnable through three stages: how code is tested, by building DMC-Optim with large optimization tests and a calibrated sandbox; how speed is turned into reward, by composing correctness and speed in the RL environment and using an offline simulator to predict the most promising configur...

Pierre Chambon, Kun-Hao Zheng, Juliette Decugis et al. · arXiv.org · 0 citations