List your company

VQA Hallucination on POPE MS COCO v1 (test)

86Random AccuracyRobust mPLUG-Owl-7B
50.6459.826978.18Mar 20, 2024

Evaluation results

MethodLinks
Robust mPLUG-Owl-7BBackbone=7B, Supervised Training (SUP)=true2024.0386—73—65—74.7—
LLaVA-RLHF_13BBackbone=13B, Supervised Training (SUP)=true2024.0385.238.483.93882.340.583.839
LLaVA_13B M3ID + DPOBackbone=13B, Decoding Strategy=M3ID, Training=DPO2024.0385.253.479.157.573.267.579.251.1
LLaVA-RLHF_7BBackbone=7B, Supervised Training (SUP)=true2024.0384.839.683.341.880.74482.941.8
LLaVA_13B M3IDBackbone=13B, Decoding Strategy=M3ID (Inference-time intervention)2024.0384.355.67761.671.368.277.561.8
LLaVA_7B M3ID + DPOBackbone=7B, Decoding Strategy=M3ID, Training=DPO2024.0381.265.673.967.368.275.474.469.4
LLaVA_7B M3IDBackbone=7B, Decoding Strategy=M3ID (Inference-time intervention)2024.037667.769.373.365.877.670.372.9
LLaVA_7BBackbone=7B, Decoding Strategy=Standard2024.0374.875.161.886.758.190.164.984
MiniGPT4-13BBackbone=13B2024.0373—67—62—74.7—
LLaVA_13BBackbone=13B, Decoding Strategy=Standard2024.0367.980.663.883.259.887.363.883.7
mPLUG-Owl-7BBackbone=7B, Supervised Training (SUP)=false2024.0352—57—60—67.3—