Evaluation Awareness Beyond English: Do LLMs Act Differently When Tested in Indic Languages?
LLMs refuse more often in Indic languages when told they are under a safety test, including some benign requests.
The study tests evaluation awareness in four instruction-tuned models from three families across five Indic languages and English, varying cues about monitoring and whether that monitoring is a safety test. Telling models they are being tested increases refusals of harmful requests in all four models and all six languages, by 14.4 percentage points on average in Indic languages, bringing Indic harmful refusals in line with English. The same cue also raises refusals of benign Indic requests from 6.9% to 11.3%. All 47,880 judged responses are released.
- Four instruction-tuned models tested in five Indic languages plus English.
- Safety-test cues raise harmful-request refusals in every model and language.
- Indic harmful refusals rise 14.4 percentage points on average.
- Benign Indic refusals rise from 6.9% to 11.3%.
- Authors release 47,880 judged responses.
From the original article
1 min read at arxiv.orgLarge 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.
By Trizal Garg · arxiv.org
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