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Speech-to-Speech Question Answering on Llama Questions
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78.6
Accuracy
VocalNet
57.8728
63.2539
68.635
74.0161
Mar 10, 2026
Mar 14, 2026
Mar 19, 2026
Mar 24, 2026
Mar 29, 2026
Apr 3, 2026
Apr 8, 2026
Accuracy
Updated 9d ago
Evaluation Results
Method
Method
Links
Accuracy
VocalNet
Model Parameters=8B
2026.03
78.6
Qwen2.5-Omni-7B
Model Parameters=7B
2026.03
77.33
AudioKV
Model=Qwen2.5-Omni-7B,...
2026.04
77.3
PyramidKV
Model=Qwen2.5-Omni-7B,...
2026.04
76.7
SnapKV
Model=Qwen2.5-Omni-7B,...
2026.04
76
AdaKV
Model=Qwen2.5-Omni-7B,...
2026.04
76
AudioKV
Model=Qwen2.5-Omni-3B,...
2026.04
75
AdaKV
Model=Qwen2.5-Omni-3B,...
2026.04
74.7
PyramidKV
Model=Qwen2.5-Omni-3B,...
2026.04
74.7
SPEECH-OMNI-LITE
Model Parameters=8B
2026.03
73.33
LLaMA-Omni2
Model Parameters=7B
2026.03
72
SnapKV
Model=Qwen2.5-Omni-3B,...
2026.04
72
Baichuan-Omni-1.5
Model Parameters=7B
2026.03
65.67
GLM-4-Voice
Model Parameters=9B
2026.03
63.67
Freeze-Omni
Model Parameters=7B
2026.03
58.67
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