2 papers
cs.CR2026
Retrieved But Not Reliable: A Survey on Attacks, and Defenses in Retrieval-Augmented Generation
Minh Tran, Cuong Dang, Tuc Nguyen +10
Retrieval-Augmented Generation (RAG) enhances large language models by grounding outputs in external knowledge, improving factuality and reducing hallucinations. At the same time,…
cs.AI2026
LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs
Jiahao Zhang, Yongzhi Tong, Zelin Fu +4
Existing personalized LLM benchmarks primarily rely on textual personas or isolated behavioral signals, providing limited evaluation of cross-domain behavioral personalization, whe…