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News/Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition
arxiv
PublishedApril 13, 2026 at 4:00 AM
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Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition

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arXiv:2604.08708v1 Announce Type: cross Abstract: While Large Language Model-based Multi-Agent Systems (MAS) consistently outperform single-agent systems on complex tasks, their intricate interactions introduce critical reliability challenges arising from communication dynamics and role dependencies

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arxivMAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation3harxivCounterfactual Model Testing Under Distribution Shift3harxivCentralized Critics for N-Agent Ad Hoc Teamwork3harxivWhere and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning3h
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