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On the Origin and Evolution of Training-Inference Mismatch in LLM Reinforcement Learning

Read the original at HF Daily Papers

Summary

The paper analyzes training-inference mismatch in large language model reinforcement learning, identifying numerical discrepancy and policy lag as distinct sources of off-policy bias.

Carried by: arXiv, HF Daily Papers. First seen: .