arxiv
PublishedSeptember 1, 2026 at 4:00 AM
—neutral
Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMs
Publisher summary· verbatim
arXiv:2502.10673v2 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) has become an effective method for enhancing large language models (LLMs) with up-to-date knowledge. However, it may pose a risk of copyright infringement, as IP datasets may be incorporated into the knowl
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivCulturalMenuBench: Probing the Knowledge-Application Gap in Multimodal Culinary Reasoning11harxivProactive Service Agents: A Unified Decision Framework, Methods, and Evaluation11harxivX-Translator: A Real-Time Multilingual Speaker-Aware Speech-to-Speech Translation System11harxivA Blind Trust, the Bloody Thrust: When Attacker-Controlled Hook Updates Steer AI Agent Harnesses towards Malicious Behaviors11hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗