2026
RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint Data
ICLR 2026poster
Large language models (LLMs) are increasingly expected to tackle complex tasks, driven by their expanding applications and users' growing proficiency in crafting sophisticated prompts. However, as the number of explicitly stated requirements increases (particularly more than $10$ constraints), LLMs…