AIM: Adaptive Interaction in Multi-Agent Debate for Multimodal LLM Inference
3.80T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2611.08950.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryAIM is a routing framework for multimodal multi-agent debate that selects among text, graph, and targeted image, audio, or video evidence per instance. A lightweight router uses required evidence, baseline confidence, and marginal information to balance accuracy and token use. Across eight benchmarks, AIM reports improved accuracy and fewer tokens than fixed-modality combinations.
Why it mattersProvides measured evidence on an overlooked orchestration choice and a concrete way to control accuracy-cost tradeoffs when multimodal agents exchange evidence.
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