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DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning

arXiv — cs.LG•Wednesday, November 12, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
The introduction of DRAGON marks a pivotal advancement in the field of AI, particularly concerning the unlearning capabilities of Large Language Models (LLMs). Unlearning is vital for protecting private data and removing harmful knowledge, yet existing methods often rely on fine-tuning and access to retain data, which is not always feasible. DRAGON circumvents these limitations by utilizing a systematic, reasoning-based framework that leverages the inherent instruction-following ability of LLMs. By implementing a lightweight detection module, DRAGON can identify prompts that warrant forgetting without needing retain data. Extensive experiments validate its effectiveness across various unlearning tasks, demonstrating its strong applicability in practical scenarios. This innovation not only enhances the efficiency of unlearning processes but also addresses pressing privacy concerns, making it a significant contribution to the responsible development of AI technologies.
— via World Pulse Now AI Editorial System
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