most citedWhy AI systems don't learn and what to do about it: Lessons on autonomous learning from cognitive science

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cs.CL2024

Countering Reward Over-optimization in LLM with Demonstration-Guided Reinforcement Learning

Mathieu Rita, Florian Strub, Rahma Chaabouni +3

While Reinforcement Learning (RL) has been proven essential for tuning large language models (LLMs), it can lead to reward over-optimization (ROO). Existing approaches address ROO…

cs.CL2024

Language Evolution with Deep Learning

Mathieu Rita, Paul Michel, Rahma Chaabouni +3

Computational modeling plays an essential role in the study of language emergence. It aims to simulate the conditions and learning processes that could trigger the emergence of a s…