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Speech-to-Speech Question Answering on AlpacaEval

72.22AccuracyVocalNet
11.58827.32943.0758.811Mar 10, 2026

Evaluation results

MethodLinks
VocalNetModel Parameters=8B2026.0372.22
Qwen2.5-Omni-7BModel Parameters=7B2026.0367.17
SPEECH-OMNI-LITEModel Parameters=8B2026.0365.66
LLaMA-Omni2Model Parameters=7B2026.0363.64
GLM-4-VoiceModel Parameters=9B2026.0358.59
Freeze-OmniModel Parameters=7B2026.0328.79
Baichuan-Omni-1.5Model Parameters=7B2026.0313.92