NoiseBoost: Alleviating Hallucination with Noise Perturbation for
Multimodal Large Language Models

NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models

30 May 2024

Kai Wu

Qingdong He

Donghao Luo

Chengjie Wang

Papers citing "NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models"

6 / 6 papers shown

Title
Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation Hongcheng Gao Jiashu Qu Jingyi Tang Baolong Bi Y. Liu Hongyu Chen Li Liang Li Su Qingming Huang MLLM VLM LRM 83 3 0 25 Mar 2025
ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Junzhe Chen Tianshu Zhang S. Huang Yuwei Niu Linfeng Zhang Lijie Wen Xuming Hu MLLM VLM 109 2 0 22 Nov 2024
Anchor-based Large Language Models Jianhui Pang Fanghua Ye Derek F. Wong Xin He Wanshun Chen Longyue Wang KELM 48 8 0 12 Feb 2024
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
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022