Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?

18 June 2024

Papers citing "Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?"

6 / 6 papers shown

Title
TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention Jinhao Duan Fei Kong Hao-Ran Cheng James Diffenderfer B. Kailkhura Lichao Sun Xiaofeng Zhu Xiaoshuang Shi Kaidi Xu 149 0 0 13 Mar 2025
Multi-Modal Hallucination Control by Visual Information Grounding Alessandro Favero L. Zancato Matthew Trager Siddharth Choudhary Pramuditha Perera Alessandro Achille Ashwin Swaminathan Stefano Soatto MLLM 87 62 0 20 Mar 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 95 198 0 28 Nov 2023
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration Qinghao Ye Haiyang Xu Jiabo Ye Mingshi Yan Anwen Hu Haowei Liu Qi Qian Ji Zhang Fei Huang Jingren Zhou MLLM VLM 126 375 0 07 Nov 2023
Caption Anything: Interactive Image Description with Diverse Multimodal Controls Teng Wang Jinrui Zhang Junjie Fei Hao Zheng Yunlong Tang Zhe Li Mingqi Gao Shanshan Zhao MLLM 104 82 0 04 May 2023
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 392 4,137 0 28 Jan 2022