code optimization 1execution time measurement 1GRPO adaptation 1reinforcement learning 1reward design 1sandbox environment 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Reinforcement Learning for Code Optimization
Pierre Chambon, Kunhao Zheng, Juliette Decugis +2
The paper proposes a reinforcement‑learning framework that learns to optimize program execution speed by addressing measurement noise, sparse rewards, and instability, using a cali…
cs.CL2026
Language-Switching Triggers Take a Latent Detour Through Language Models
Francis Kulumba, Wissam Antoun, Théo Lasnier +2
Backdoor attacks on language models pose a growing security concern, yet the internal mechanisms by which a trigger sequence hijacks model computations remain poorly understood. We…
cs.CL2025
BigO(Bench) -- Can LLMs Generate Code with Controlled Time and Space Complexity?
Pierre Chambon, Baptiste Roziere, Benoit Sagot +1
We introduce BigO(Bench), a novel coding benchmark designed to evaluate the capabilities of generative language models in understanding and generating code with specified time and…