BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language Models

18 July 2024

Papers citing "BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language Models"

6 / 6 papers shown

Title
Can Large Audio-Language Models Truly Hear? Tackling Hallucinations with Multi-Task Assessment and Stepwise Audio Reasoning Chun-Yi Kuan Hung-yi Lee AuLLM LRM 58 1 0 03 Jan 2025
AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models Kim Sung-Bin Oh Hyun-Bin JungMok Lee Arda Senocak Joon Son Chung Tae-Hyun Oh MLLM VLM 29 2 0 23 Oct 2024
A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting Junhao Zhuang Yanhong Zeng Wenran Liu Chun Yuan Kai Chen DiffM 36 10 0 06 Dec 2023
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
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning Jun Chen Deyao Zhu Xiaoqian Shen Xiang Li Zechun Liu Pengchuan Zhang Raghuraman Krishnamoorthi Vikas Chandra Yunyang Xiong Mohamed Elhoseiny MLLM 154 280 0 14 Oct 2023
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Qinghao Ye Haiyang Xu Guohai Xu Jiabo Ye Ming Yan ... Junfeng Tian Qiang Qi Ji Zhang Feiyan Huang Jingren Zhou VLM MLLM 203 883 0 27 Apr 2023