Evaluating the Quality of Hallucination Benchmarks for Large
Vision-Language Models

Evaluating the Quality of Hallucination Benchmarks for Large Vision-Language Models

24 June 2024

Jie Zhang

Zheng Yuan

Shiguang Shan

Xilin Chen

Papers citing "Evaluating the Quality of Hallucination Benchmarks for Large Vision-Language Models"

7 / 7 papers shown

Title
Aligning Multimodal LLM with Human Preference: A Survey Tao Yu Y. Zhang Chaoyou Fu Junkang Wu Jinda Lu ... Qingsong Wen Z. Zhang Yan Huang Liang Wang T. Tan 73 2 0 18 Mar 2025
AI Benchmarks and Datasets for LLM Evaluation Todor Ivanov Valeri Penchev 104 0 0 02 Dec 2024
A Survey on Multimodal Benchmarks: In the Era of Large AI Models Lin Li Guikun Chen Hanrong Shi Jun Xiao Long Chen 34 9 0 21 Sep 2024
Hallucination of Multimodal Large Language Models: A Survey Zechen Bai Pichao Wang Tianjun Xiao Tong He Zongbo Han Zheng Zhang Mike Zheng Shou VLM LRM 80 136 0 29 Apr 2024
Pensieve: Retrospect-then-Compare Mitigates Visual Hallucination Dingchen Yang Bowen Cao Guang Chen Changjun Jiang 46 7 0 21 Mar 2024
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
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