Likelihood-Based Reward Designs for General LLM Reasoning

Ariel Kwiatkowski, Natasha Butt, Ismail Labiad +2

Fine-tuning large language models (LLMs) on reasoning benchmarks via reinforcement learning requires a specific reward function, often binary, for each benchmark. This comes with t…