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Evaluation Awareness Beyond English: Do LLMs Act Differently When Tested in Indic Languages?

Paper recorded by Signals 4 on 2026-10-15 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-15 on arXiv · recorded by Signals 4 on 2026-10-16

Category: cs.AI · 人工智能 · first seen 2026-10-16

Abstract

Large language models (LLMs) can often tell when they are being tested. This ability, known as evaluation awareness, can lead models to act more cautiously during safety evaluations than in real use. Existing work has studied evaluation awareness almost entirely in English, although models serve users in many languages. Indic languages are spoken by over a billion people, yet evaluation awareness

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#291 most recent of 960 cs.AI papers we have recorded · ↑ newer: Dexterity from Supervised Play · ↓ older: KnowGPO: Knowledge-Grouped Policy Optimization for Search Agents
Cite this page: Evaluation Awareness Beyond English: Do LLMs Act Differently When Tested in Indic Languages?: the #291 most recent of 960 cs.AI papers we have recorded (as of 2026-10-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evaluation-awareness-beyond-english-do-llms-act-differently-when-tested-in-indic.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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