Co-Coder partitions code dependency graphs via community detection to orchestrate multi-agent LLM coding, improving pass rates up to 14%, wall-clock speedup up to 2.1x, and cutting API cost up to 35% on dependency-dense tasks.
Large language models miss the multi-agent mark
4 Pith papers cite this work. Polarity classification is still indexing.
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Mindgames introduces a four-game evaluation platform for multi-agent LLM reasoning, runs a 944-agent competition, surfaces rule-adherence and error-survival limitations, and releases a 29k-game dataset with an offline scoring protocol.
LLM agent societies develop power-law coordination cascades and intellectual elites through an integration bottleneck that grows with system size.
Agentic AI needs social theory as structural priors in the MASS framework to model emergent dynamics from multi-agent interactions.
citing papers explorer
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When Parallelism Pays Off: Cohesion-Aware Task Partitioning for Multi-Agent Coding
Co-Coder partitions code dependency graphs via community detection to orchestrate multi-agent LLM coding, improving pass rates up to 14%, wall-clock speedup up to 2.1x, and cutting API cost up to 35% on dependency-dense tasks.
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MINDGAMES: A Live Arena for Evaluating Social and Strategic Reasoning in Multi-Agent LLMs
Mindgames introduces a four-game evaluation platform for multi-agent LLM reasoning, runs a 944-agent competition, surfaces rule-adherence and error-survival limitations, and releases a 29k-game dataset with an offline scoring protocol.
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Do Agent Societies Develop Intellectual Elites? The Hidden Power Laws of Collective Cognition in LLM Multi-Agent Systems
LLM agent societies develop power-law coordination cascades and intellectual elites through an integration bottleneck that grows with system size.
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Social Theory Should Be a Structural Prior for Agentic AI: A Formal Framework for Multi-Agent Social Systems
Agentic AI needs social theory as structural priors in the MASS framework to model emergent dynamics from multi-agent interactions.