Frontier Learning: Training LLM Reasoners at the Edge of Capability
Reinforcement Learning-based post-training of Large Language Models (LLM) has been successfully applied to improve their reasoning capabilities. Existing pipelines primarily finetune LLMs on a fixed pool of problems specified prior to training using the GRPO loss. This is fundamentally limiting, as learning signal aris...
Robin Faro, S. Ramesh, Ilija Bogunovic et al.
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