LLM societies in Nomic show non-monotonic collective adaptation peaking at mid-scales, with smaller models rule-inert and larger ones restrictive.
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3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3representative citing papers
Mechanism design leaves a strictly positive welfare loss under incomplete contracts for AI agents, but prosocial agents close this gap and improve social welfare.
A game-theoretic heterogeneous multi-agent architecture with three cloud LLMs and a local verifier achieves 77.2% F1, 100% recall, and 3x speedup for code vulnerability detection at $0.002 per sample on the NIST Juliet suite.
citing papers explorer
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Scale-Dependent Collective Adaptation in Self-Amending LLM Societies: A Cross-Family Study of Emergent Governance
LLM societies in Nomic show non-monotonic collective adaptation peaking at mid-scales, with smaller models rule-inert and larger ones restrictive.
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Mechanism Design Is Not Enough: Prosocial Agents for Cooperative AI
Mechanism design leaves a strictly positive welfare loss under incomplete contracts for AI agents, but prosocial agents close this gap and improve social welfare.
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Strategic Heterogeneous Multi-Agent Architecture for Cost-Effective Code Vulnerability Detection
A game-theoretic heterogeneous multi-agent architecture with three cloud LLMs and a local verifier achieves 77.2% F1, 100% recall, and 3x speedup for code vulnerability detection at $0.002 per sample on the NIST Juliet suite.