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arXiv cs.AI ·
Graph Feedback Controls Consensus and Clique Formation in Open-Weight Language-Model Populations
תקציר מקורי באנגליתarXiv:2607.12077v2 Announce Type: replace Abstract: Multi-agent language-model (LM) systems often determine which agents communicate, yet routing is usually treated as an implementation detail. We ask whether routing itself determines whether a population converges on a shared convention or fragments into persistent cliques. We study open-weight agents spanning 1.1B-32B parameters in a controlled naming game, tracking both emitted labels and full first-token preference distributions over the allowed labels. Similarity-based routing can isolate emerging conventions and sustain fragmentation even when every agent interacts in every round. Matched controls show that this effect is not explained solely by uneven participation or model-family-specific score preferences: random rematching and po
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arxiv.org
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