2 papers
cs.LG2025
MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks
Hyeonjeong Ha, Qiusi Zhan, Jeonghwan Kim +6
Retrieval-augmented generation (RAG) has become a common practice in multimodal large language models (MLLM) to enhance factual grounding and reduce hallucination. Yet, its relianc…
cs.CL2024
LoRE: Logit-Ranked Retriever Ensemble for Enhancing Open-Domain Question Answering
Saikrishna Sanniboina, Shiv Trivedi, Sreenidhi Vijayaraghavan
Retrieval-based question answering systems often suffer from positional bias, leading to suboptimal answer generation. We propose LoRE (Logit-Ranked Retriever Ensemble), a novel ap…