Interpreting Social Bias in LVLMs via Information Flow Analysis and Multi-Round Dialogue Evaluation

27 May 2025

Papers citing "Interpreting Social Bias in LVLMs via Information Flow Analysis and Multi-Round Dialogue Evaluation"

5 / 5 papers shown

Title
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks Peiran Wu Che Liu Chong Chen Jun Li Cosmin I. Bercea Rossella Arcucci 77 5 0 01 Oct 2024
DOPRA: Decoding Over-accumulation Penalization and Re-allocation in Specific Weighting Layer Jinfeng Wei Xiaofeng Zhang 53 14 0 21 Jul 2024
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals Phillip Howard Kathleen C. Fraser Anahita Bhiwandiwalla S. Kiritchenko 118 13 0 30 May 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 124 206 0 29 Nov 2023
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models Daniel Omeiza Skyler Speakman C. Cintas Komminist Weldemariam FAtt 60 218 0 03 Aug 2019