EChO-Agent: Evidence Chain Orchestration Agent for Audio Reasoning
While LALMs show promise on audio question answering, they fail to focus on question-relevant segments of audio and provide a clear, checkable reasoning process when dealing with complex audio reasoning. Reinforcement learning and tool-augmented prompting can help models better relate questions to audio but lack a reliable way to understand, integrate, and self-verify audio segments. To address this gap, we present EChO-Agent, a modular agent framework that reformulates complex audio QA as a planning, tool execution, evidence integration, and answer verification workflow. Experiments on MMAR benchmark show EChO-Agent improves both accuracy and rubric scores over baseline and ablation stud...
| Authors | Siyuan Zhang, Jian Zong, Junyu Wang et al. |
|---|---|
| Primary category | eess.AS |
| Published | 13 June 2026 |
| Last updated at source | 13 June 2026 |
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