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arXiv cs.AIAugust 18, 2026

PolyWorkBench: Benchmarking LLM Agents for Cross-Lingual Long-Horizon Workflows

Excerpt

arXiv:2607.06008v3 Announce Type: replace Abstract: While Large Language Model (LLM) agents excel at monolingual long-horizon planning and tool use, enterprise workflows inherently require processing multilingual resources across extended trajectories. The interaction between multilinguality and long-horizon execution, however, remains underexplored. We introduce PolyWorkBench, a benchmark designed to evaluate LLM agents on multilingual, long-horizon workplace workflows. PolyWorkBench features 6