Offline post-training for code LLMs: performance, efficiency, and collapse challenges
Read the original at arxiv.org→arXiv:2609.11956v1 Announce Type: new Abstract: Post-training with reinforcement learning (RL) is a critical phase in the development of code-generating large language models (LLMs), as it ensures adherence to...
Original headline: "Performance, Efficiency and Collapse -- Advantages and Challenges in Offline Post-training of Code LLMs"
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- Sep 14, 04:00 UTC arXiv cs.LG lead source Performance, Efficiency and Collapse -- Advantages and Challenges in Offline Post-training of Code LLMs