MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented
Generation via Knowledge-enhanced Reranking and Noise-injected Training

MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training

31 July 2024

Chengjin Xu

Papers citing "MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training"

5 / 5 papers shown

Title
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation Mohammad Mahdi Abootorabi Amirhosein Zobeiri Mahdi Dehghani Mohammadali Mohammadkhani Bardia Mohammadi Omid Ghahroodi M. Baghshah Ehsaneddin Asgari RALM 93 3 0 12 Feb 2025
Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding Z. Chen Mingxiao Li Z. Chen Nan Du Xiaolong Li Yuexian Zou 53 0 0 19 Jan 2025
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding Sicong Leng Hang Zhang Guanzheng Chen Xin Li Shijian Lu Chunyan Miao Li Bing VLM MLLM 85 196 0 28 Nov 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 244 4,186 0 30 Jan 2023
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021