3 papers
cs.CV2025
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models
Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou +4
Existing multimodal retrieval benchmarks primarily focus on evaluating whether models can retrieve and utilize external textual knowledge for question answering. However, there are…
cs.CL2024
VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models
Haoyi Qiu, Wenbo Hu, Zi-Yi Dou +1
Large Vision-Language Models (LVLMs) suffer from hallucination issues, wherein the models generate plausible-sounding but factually incorrect outputs, undermining their reliability…
cs.CV2024
Matryoshka Query Transformer for Large Vision-Language Models
Wenbo Hu, Zi-Yi Dou, Liunian Harold Li +3
Large Vision-Language Models (LVLMs) typically encode an image into a fixed number of visual tokens (e.g., 576) and process these tokens with a language model. Despite their strong…