DoubleAgents shows that a distributed-cognition design with coordination agent, dashboard, and policy module increases user comfort and reliance on AI agents for coordination tasks over time.
Blind judgement: Agent-based supreme court modelling with gpt
4 Pith papers cite this work, alongside 12 external citations. Polarity classification is still indexing.
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12
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A survey of LLM-based autonomous agents that proposes a unified framework for their construction and reviews applications in social science, natural science, and engineering along with evaluation methods and future directions.
A controlled user study and qualitative survey find that AI assistance raises formalization accuracy for math proofs, with users flexibly combining multiple tools while retaining oversight.
Trait-conditioned LLM prosecution/defense teams in a simulated courtroom show heterogeneous traits and an RL Trait Orchestrator outperforming static homogeneous teams across thousands of synthetic trials.
citing papers explorer
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DoubleAgents: Human-Agent Alignment in a Socially Embedded Workflow
DoubleAgents shows that a distributed-cognition design with coordination agent, dashboard, and policy module increases user comfort and reliance on AI agents for coordination tasks over time.
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A Survey on Large Language Model based Autonomous Agents
A survey of LLM-based autonomous agents that proposes a unified framework for their construction and reviews applications in social science, natural science, and engineering along with evaluation methods and future directions.
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Characterizing initial human-AI proof formalization workflows
A controlled user study and qualitative survey find that AI assistance raises formalization accuracy for math proofs, with users flexibly combining multiple tools while retaining oversight.
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Strategic Persuasion with Trait-Conditioned Multi-Agent Systems for Iterative Legal Argumentation
Trait-conditioned LLM prosecution/defense teams in a simulated courtroom show heterogeneous traits and an RL Trait Orchestrator outperforming static homogeneous teams across thousands of synthetic trials.