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Audio Question Answering on RACE Audio

64.21Accuracy (Sub-task 1)Uni-MoE w/ MoE-Task4 (4E)
1.633217.879134.12550.3709May 18, 2024

Evaluation results

MethodLinks
Uni-MoE w/ MoE-Task4 (4E)Modality=I,T,S,V, Training Task Strategy=MoE-Task4, Number of Experts=42024.0564.2164.72
Uni-MoE w/ MoE-Task4 (4E) + Aux lossModality=I,T,S,V, Training Task Strategy=MoE-Task4, Number of Experts=4, Auxiliary Balancing Loss=true2024.0563.8664.24
Uni-MoE w/ MoE-Task4 (8E)Modality=I,T,S,V, Training Task Strategy=MoE-Task4, Number of Experts=82024.0563.7561.56
Uni-MoE w/ MoE-Task4 (8E) + Aux lossModality=I,T,S,V, Training Task Strategy=MoE-Task4, Number of Experts=8, Auxiliary Balancing Loss=true2024.0562.3364.18
Uni-MoE w/ MoE-Task2 (4E)Modality=I,T,S,V, Training Task Strategy=MoE-Task2, Number of Experts=42024.0549.6549.37
Uni-MoE w/ MoE-Task1 (4E)Modality=I,T,S, Training Task Strategy=MoE-Task1, Number of Experts=42024.0547.0847.08
Single-Modality-Expert-Task6Modality=I,T,S, Training Task Strategy=MoE-Task62024.0532.5929.02
Single-Modality-Expert-Task5Modality=I,T,S, Training Task Strategy=MoE-Task52024.0530.7824.9
X-InstructBLIPModality=Image, Text, Audio, Video2024.0516.3318.88
Macaw-LLMModality=Image, Text, Audio, Video2024.054.043