GAIA-v2-LILT: Multilingual Adaptation of Agent Benchmark beyond Translation
Agent benchmarks remain largely English-centric, while their multilingual versions are often built with machine translation (MT) and limited post-editing. We argue that, for agentic tasks, this minimal workflow can easily break benchmark validity through query-answer misalignment or culturally off-target context. We propose a refined workflow for adapting English benchmarks into multiple languages with explicit functional alignment, cultural alignment, and difficulty calibration using both autom
Record details
Published: 27 April 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (27 April 2026), “GAIA-v2-LILT: Multilingual Adaptation of Agent Benchmark beyond Translation,” evidence record 5298, https://ethics.ai/record/5298 (originally published by arXiv).
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