Internalizing Heterogeneous Agents in Language Model Reasoning
LLMs are increasingly deployed as orchestrators that coordinate specialized subagents to solve complex tasks through natural language. …
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Internalizing Heterogeneous Agents in Language Model Reasoning
Social Agents: Collective Intelligence Improves LLM Predictions
In human society, collective decision making has often outperformed the judgment of individuals. Classic examples range from estimating …
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Social Agents: Collective Intelligence Improves LLM Predictions
Robustness of Markov perfect equilibrium to model approximations in general-sum dynamic games
Dynamic games (also called stochastic games or Markov games) are an important class of games for modeling multi-agent interactions. In …
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