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Yuetian Mao

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Book Open access Oct 2026

Measuring the Cost of Prompt Structure in LLM Code Generation

Structured prompting routinely improves general LLM reasoning, but whether it transfers to code generation remains underexplored even as coding tools add template layers around user requests. We compare three levels of automatically imposed prompt structure, from free-form instructions over a static component template...

Yue-Tian Mao · 0 citations
Jul 2026

IFHierBench: Hierarchical Instruction Following for Large Language Models

IFHierBench is introduced, a hierarchical instruction-following benchmark of 600 prompts stratified across four constraint-tree depths and 35 distinct constraints, each prompt paired with a deterministic checker that verifies satisfaction at every scope.

Yuetian Mao, Chunyang Chen · 0 citations

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