ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction Following

ArXi:2602.21228v2 Announce Type: replace As applications of large language models (LLMs) become increasingly complex, the demand for robust complex instruction following capabilities is growing accordingly. We argue that a thorough understanding of the instruction itself, especially the latent reasoning structure embedded between the lines, is crucial for improving instruction following. Therefore we target complex instructions that involve implicit reasoning, intricate logical relations, and multi-constraint dependencies.