2026
CODEPMP: SCALABLE PREFERENCE MODEL PRETRAINING FOR LARGE LANGUAGE MODEL REASONING
ICASSP 2026poster
Large language models (LLMs) have made significant progress in natural language understanding and generation, driven by scalable pretraining and advanced finetuning. However, enhancing reasoning abilities in LLMs, particularly via reinforcement learning from human feedback (RLHF), remains challengin…