FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models

FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models

2 November 2023

Liqiang Jing

Xinya Du

Papers citing "FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models"

7 / 7 papers shown

Title
Critique Before Thinking: Mitigating Hallucination through Rationale-Augmented Instruction Tuning Zexian Yang Dian Li Dayan Wu Gang Liu Weiping Wang MLLM LRM 41 0 0 12 May 2025
A Claim Decomposition Benchmark for Long-form Answer Verification Zhihao Zhang Yixing Fan Ruqing Zhang J. Guo HILM 28 0 0 16 Oct 2024
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification Laura Fieback Jakob Spiegelberg Hanno Gottschalk MLLM 62 5 0 29 May 2024
FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback Liqiang Jing Xinya Du 76 17 0 07 Apr 2024
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 208 900 0 27 Apr 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 270 4,244 0 30 Jan 2023
Multimodal Conversational AI: A Survey of Datasets and Approaches Anirudh S. Sundar Larry Heck 35 29 0 13 May 2022