Self-Improving Code Generation via Semantic Entropy and Behavioral Consensus
arXiv:2603.29292v1 Announce Type: cross
Abstract: Improving the code generation capabilities of large language models (LLMs) typically relies on supervised fine-tuning or preference optimization, both of which require costly external resources such as…