Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.03735.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

The paper studies how multilingual multi-agent systems degrade at the planning stage, derives a taxonomy of planning-grounding failures from real failed executions, and introduces TART, which improves accuracy by 5.6 percentage points on multilingual GAIA across eleven languages and multiple LLM backbones and configurations.

Pinpoints a specific, under-studied failure mode in multilingual agent pipelines and offers a tested mitigation with measurable gains across languages and models.

Cited by

No citations on record.