Performance, Efficiency and Collapse -- Advantages and Challenges in Offline Post-training of Code LLMs
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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 instructions and the production of functionally correct code. This process typically requ…
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- 2026-09-14 04:00 · arXiv cs.LG
Performance, Efficiency and Collapse -- Advantages and Challenges in Offline Post-training of Code LLMs