An Actionable Diagnosis of Multilingual, Multi-Agent Planning Failures
Multilingual multi-agent systems exhibit substantial degradation beyond English, yet prior work rarely identifies how task-critical information is lost when user requests are converted into executable plans. We study the planner in a multi-agent system as the request-to-action interface and derive an actionable taxonomy of planning-grounding failures from failed real-world task executions. LLM-based analysis shows that these failures constitute an increasing share of unsuccessful executions as language-resource availability declines, with the strongest effects in low-resource languages. To test whether the taxonomy supports mitigation, we introduce TART, Taxonomy-Guided Actionable Represe...
| Authors | Vikas Pahuja, Jonathan Brokman, Omer Hofman et al. |
|---|---|
| Primary category | cs.MA |
| Published | 4 August 2026 |
| Last updated at source | 4 August 2026 |
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