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StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs

StructEval benchmark exposes critical gaps in LLM structured output generation—even o1-mini only achieves 75.58% accuracy across 18 formats, with visual content generation consistently failing.

Monday, April 6, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline

StructEval is a comprehensive benchmark for evaluating LLMs' structured output generation across 18 formats (JSON, YAML, React, SVG, etc.) and 44 task types. Results show significant capability gaps: o1-mini achieves only 75.58% average, open-source models lag ~10 points behind, and visual content generation is particularly weak across all models.

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