{"slug": "on-the-origin-and-evolution-of-training-inference-mismatch-in-llm-reinforcement", "title": "On the Origin and Evolution of Training-Inference Mismatch in LLM Reinforcement Learning", "summary": "A paper titled \"On the Origin and Evolution of Training-Inference Mismatch in LLM Reinforcement Learning\" examines how on-policy reinforcement learning for large language models breaks its own assumption that training responses are sampled from the current policy, because an inference engine samples the responses while a separate trainer computes the gradients. The work attributes the resulting training-inference mismatch between the two systems to that split and traces how the mismatch evolves during training.", "body_md": "On-policy reinforcement learning for large language models assumes that training responses are sampled from the current policy. In practice, an inference engine samples the responses and a separate trainer computes the gradients, and the training-inference mismatch between the two makes the training", "url": "https://wpnews.pro/news/on-the-origin-and-evolution-of-training-inference-mismatch-in-llm-reinforcement", "canonical_source": "https://aiflash.com/news/143897/", "published_at": "2026-11-02 04:30:00+00:00", "updated_at": "2026-11-02 04:49:54.548113+00:00", "lang": "en", "topics": ["machine-learning", "large-language-models", "ai-research", "ai-infrastructure"], "entities": [], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/on-the-origin-and-evolution-of-training-inference-mismatch-in-llm-reinforcement", "markdown": "https://wpnews.pro/news/on-the-origin-and-evolution-of-training-inference-mismatch-in-llm-reinforcement.md", "text": "https://wpnews.pro/news/on-the-origin-and-evolution-of-training-inference-mismatch-in-llm-reinforcement.txt", "jsonld": "https://wpnews.pro/news/on-the-origin-and-evolution-of-training-inference-mismatch-in-llm-reinforcement.jsonld"}}