RECAST: Expanding the Boundaries of LLMs'Complex Instruction Following with Multi-Constraint Data
Recast is an efficient and scalable framework for synthesizing datasets where each example incorporates far more constraints than those in existing benchmarks, aiming to challenge and extend the boundaries of models'ability to follow complex instructions.
Zheng-Kang Guo, Wen-Hao Liu, Min Xie et al.
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