papersSEP 12 04:00 UTC
arXiv Paper Proposes Solver-Informed Self-Distillation for Operations Research LLMs
A new arXiv preprint introduces a post-training method that uses solver feedback to guide self-distillation, aiming to improve how language models turn natural-language problem descriptions into operations research formulations. The approach is positioned as a way to go beyond training on verified answers alone when bootstrapping such models.