LsrIF: Enhancing Logic-Structured Instruction Following of Large Language Models 事件

LsrIF: Enhancing Logic-Structured Instruction Following of Large Language Models arXiv:2601.06431v3 Announce Type: replace Abstract: Instruction following is critical for large language models, yet real-world instructions often involve multiple constraints with logical structures, such as parallel composition, sequential dependencies, and conditional branching. Existing methods typically construct data by simply combining constraints and aggregate rewards by averaging individual constraint scor