Magnifier Prompt: Tackling Multimodal Hallucination via Extremely Simple Instructions

24 February 2025

Papers citing "Magnifier Prompt: Tackling Multimodal Hallucination via Extremely Simple Instructions"

7 / 7 papers shown

Title
MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs Yusu Qian Hanrong Ye J. Fauconnier Peter Grasch Yinfei Yang Zhe Gan 205 18 0 01 Jul 2024
OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation Qidong Huang Xiao-wen Dong Pan Zhang Bin Wang Conghui He Jiaqi Wang Dahua Lin Weiming Zhang Neng H. Yu MLLM 126 206 0 29 Nov 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 151 239 0 28 Nov 2023
AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation Junyang Wang Yuhang Wang Guohai Xu Jing Zhang Yukai Gu ... Jiaqi Wang Haiyang Xu Ming Yan Ji Zhang Jitao Sang MLLM VLM 85 122 0 13 Nov 2023
Improved Baselines with Visual Instruction Tuning Haotian Liu Chunyuan Li Yuheng Li Yong Jae Lee VLM MLLM 168 2,825 0 05 Oct 2023
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond Jinze Bai Shuai Bai Shusheng Yang Shijie Wang Sinan Tan Peng Wang Junyang Lin Chang Zhou Jingren Zhou MLLM VLM ObjD 154 939 0 24 Aug 2023
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 682 41,483 0 22 Oct 2020