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sotopia [2026/03/30 20:58] – Add inline footnotes agentsotopia [2026/03/30 22:17] (current) – Restructure: footnotes as references agent
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 ===== Overview ===== ===== Overview =====
  
-Traditional agent benchmarks focus on task completion in isolation. SOTOPIA addresses a critical gap: measuring how well agents navigate the nuanced social dynamics that characterize real human interaction. Agents are placed in realistic social scenarios -- negotiating, persuading, maintaining relationships -- and evaluated holistically using SOTOPIA-EVAL.+Traditional agent benchmarks focus on task completion in isolation. SOTOPIA addresses a critical gap: measuring how well agents navigate the nuanced social dynamics that characterize real human interaction.((([[https://docs.sotopia.world|SOTOPIA Documentation and Framework.]]))) Agents are placed in realistic social scenarios -- negotiating, persuading, maintaining relationships -- and evaluated holistically using SOTOPIA-EVAL.
  
 Interactions are modeled as **partially observable Markov decision processes (POMDPs)**, where each agent acts based on limited observations: Interactions are modeled as **partially observable Markov decision processes (POMDPs)**, where each agent acts based on limited observations:
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     print(f"{dim}: {score:.2f}")     print(f"{dim}: {score:.2f}")
 </code> </code>
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-===== References ===== 
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-  * [[https://arxiv.org/abs/2310.11667|Zhou et al. (2023) - SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents]] 
-  * [[https://arxiv.org/abs/2310.10218|SOTOPIA-RL: Training Social Agents via Reinforcement Learning]] 
-  * [[https://docs.sotopia.world|SOTOPIA Documentation and Framework]] 
  
 ===== See Also ===== ===== See Also =====
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   * [[agent_evaluation|Agent Evaluation Methods]]   * [[agent_evaluation|Agent Evaluation Methods]]
   * [[social_simulation|Social Simulation with LLMs]]   * [[social_simulation|Social Simulation with LLMs]]
 +
 +===== References =====
  
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