2026
LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models
ICML 2026poster
Despite the strong performance of Large Language Models (LLMs) on complex instruction-following tasks, precise control of output length remains a persistent challenge. Existing methods primarily attempt to enforce length constraints by externally imposing length signals or optimization objectives, w…