In a simulated economy of 25 LLM agents, a programmable market testbed shows that market rules and agent configuration reshape trade, quality, and wealth, with transparency and honesty norms backfiring.
Collaborating action by action: A multi-agent LLM framework for embodied reasoning.arXiv preprint arXiv:2504.17950
3 Pith papers cite this work. Polarity classification is still indexing.
years
2026 3representative citing papers
Modular AI systems assembled from contributed small models outperform monolithic LLMs by up to 15.4% on 15 tasks including reasoning and factuality while showing emergent problem-solving and benefits from contributor diversity.
Gated escalation and partitioned states enable more efficient multi-agent collaboration in Minecraft by making communication selective rather than automatic.
citing papers explorer
-
Diagon: A Programmable Testbed for AI-Agent Cognitive Labor Markets
In a simulated economy of 25 LLM agents, a programmable market testbed shows that market rules and agent configuration reshape trade, quality, and wealth, with transparency and honesty norms backfiring.
-
Scaling Participation in Modular AI Systems
Modular AI systems assembled from contributed small models outperform monolithic LLMs by up to 15.4% on 15 tasks including reasoning and factuality while showing emergent problem-solving and benefits from contributor diversity.
-
Gated Coordination for Efficient Multi-Agent Collaboration in Minecraft Game
Gated escalation and partitioned states enable more efficient multi-agent collaboration in Minecraft by making communication selective rather than automatic.