English(EN) Conflict-Resilient Multi-Agent Reasoning via Signed Graph Modeling

新的SIGMA框架通过有符号图增强多智能体推理能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-19 06:11

研究人员开发了SIGMA，一个用于多智能体系统（MAS）的新框架，该框架使用有符号图来建模智能体交互。与以往处理冲突信息的方法不同，SIGMA明确表示了智能体之间的信任、冲突和中立关系。这使得系统能够更好地处理分歧，并在各种任务和LLM骨干网络上产生更可靠、冲突韧性更强的预测。 AI

影响 SIGMA在多智能体系统中实现冲突韧性推理的方法可以提高复杂AI决策过程的可靠性。

排序理由该集群描述了一个新颖的研究框架及其在基准数据集上的性能。[lever_c_demoted from research: ic=1 ai=1.0]

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Hugging Face Daily Papers TIER_1 English(EN) · 2026-05-19 06:11

基于有向图建模的冲突鲁棒多智能体推理

LLM-based multi-agent systems (MAS) have demonstrated strong reasoning and decision-making capabilities that consistently surpass those of single LLM agents. However, their performance often suffers from naive aggregation mechanisms that assume uniformly cooperative interactions.…