declare-lab/OffTopicEval
OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always! Paper: https://huggingface.co/papers/2509.26495 Code: https://github.com/declare-lab/OffTopicEval Note: We release OffTopicEval, a multilingual evaluation suite for measuring operational safety of large language models (LLMs). The benchmark includes in-domain (ID), direct out-of-domain (OOD), and adaptive OOD queries, across English, Chinese, and Hindi. If your work involves adaptive OOD analysis… See the full description on the dataset page: https://huggingface.co/datasets/declare-lab/OffTopicEval.
| Author / organization | declare-lab |
|---|---|
| Downloads | 146 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 30 September 2025 |
| Last updated at source | 8 October 2025 |
Recent changes
- 16 Oct 2026 Description: OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always! Paper: https://huggingface.co/papers/2509.26495 Code: https://github.com/declare-lab/OffTopicEval Note: We release OffTopicEval, a multilingual evaluation suite f → OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always! Paper: https://huggingface.co/papers/2509.26495 Code: https://github.com/declare-lab/OffTopicEval Note: We release OffTopicEval, a multilingual evaluation suite f
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