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MedPrune: Topology-Efficient Multimodal Multi-Agent Communication Evolution for Medical VQA Tasks

Paper recorded by Signals 4 on 2026-10-05 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-05 on arXiv · recorded by Signals 4 on 2026-10-06

Category: cs.CL · 自然语言处理 · first seen 2026-10-06

Abstract

While medical multimodal large language models (Med-MLLMs) advance medical visual question answering (VQA), existing clinical workflow-inspired multi-agent frameworks suffer from interaction patterns and excessive computational overhead caused by redundant communication topologies. In this paper, we propose MedPrune, an efficient medical multimodal multi-agent collaboration framework that dynamica

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#327 most recent of 660 cs.CL papers we have recorded · ↑ newer: Reading the Mood: Emotion-Guided Book-to-Music Recommendation via CGAN · ↓ older: Programmatic Search Agents: Extending Agentic Search Beyond Query Refo
Cite this page: MedPrune: Topology-Efficient Multimodal Multi-Agent Communication Evolution for Medical VQA Tasks: the #327 most recent of 660 cs.CL papers we have recorded (as of 2026-10-05). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/medprune-topology-efficient-multimodal-multi-agent-communication-evolution-for-m.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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