EChO-Agent: Evidence Chain Orchestration Agent for Audio Reasoning

• URL: http://arxiv.org/abs/2606.15141v1
• Date: Sat, 13 Jun 2026 06:05:59 GMT
• Title: EChO-Agent: Evidence Chain Orchestration Agent for Audio Reasoning
• Abstract summary: LALMs fail to focus on question-relevant segments of audio and provide a clear, checkable reasoning process.<n>We present EChO-Agent, a modular agent framework that reformulates complex audio QA as a planning, tool execution, evidence integration, and answer verification workflow.
• Score: 57.032533935143924
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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 studies show evidence integration is the key factor.

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