AI RESEARCH
Learning and Enforcing Context-Sensitive Control for LLMs
arXiv CS.AI
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ArXi:2604.10667v1 Announce Type: cross Controlling the output of Large Language Models (LLMs) through context-sensitive constraints has emerged as a promising approach to overcome the limitations of Context-Free Grammars (CFGs) in guaranteeing generation validity. However, such constraints typically require manual specification -- a significant barrier demanding specialized expertise. We