A Study on Question-Answer Dataset for LLM Safety Evaluation with a Focus on Illegal Activities 文章

ArXiv CS.CL2026-05-29NEWSen作者: Kenji Imamura, Masao Ideuchi, Atsushi Fujita

摘要

arXiv:2605.29340v1 Announce Type: new Abstract: In this paper, we discuss question-answer dataset for LLM safety evaluation, with a focus on illegal activities. Specifically, on the basis of manual analysis of AnswerCarefully, we introduce several additional information, methods for creating question-answer examples, and a rubric for evaluating LLM-generated responses. The outcomes of this study are intended to be shared with the "JAI-Trust" project.

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