AI RESEARCH
ParseBench: A Document Parsing Benchmark for AI Agents
arXiv CS.CV
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ArXi:2604.08538v1 Announce Type: new AI agents are changing the requirements for document parsing. What matters is \emph{semantic correctness}: parsed output must preserve the structure and meaning needed for autonomous decisions, including correct table structure, precise chart data, semantically meaningful formatting, and visual grounding. Existing benchmarks do not fully capture this setting for enterprise automation, relying on narrow document distributions and text-similarity metrics that miss agent-critical failures. We.