Tomcat, an LLM agent using few-shot chain-of-thought or commonsense prompting, matches human performance on intent accuracy, action optimality, and planning optimality in a dynamic collaborative task.
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Analysis of 53 human-AI team papers yields five distinct clusters (AI Assistant, Ad-hoc Dependency, Ad-hoc Forced Dependency, Paired Equanimity, Group Equanimity) based on psychological team characteristics.
Proposes Interaction-Centered Intelligence as a framework where intelligence emerges from interaction dynamics rather than internal agent computation.
MedMSA framework retrieves knowledge via language models then builds formal probabilistic models to produce uncertainty-weighted differential diagnoses from symptoms.
citing papers explorer
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Theory of Mind in Action: The Instruction Inference Task in Dynamic Human-Agent Collaboration
Tomcat, an LLM agent using few-shot chain-of-thought or commonsense prompting, matches human performance on intent accuracy, action optimality, and planning optimality in a dynamic collaborative task.
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What Types of Human-AI Teams Exist?
Analysis of 53 human-AI team papers yields five distinct clusters (AI Assistant, Ad-hoc Dependency, Ad-hoc Forced Dependency, Paired Equanimity, Group Equanimity) based on psychological team characteristics.
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Interaction-Centered Intelligence: Toward an Interaction-Based Theory of Human-AI Co-Creation
Proposes Interaction-Centered Intelligence as a framework where intelligence emerges from interaction dynamics rather than internal agent computation.
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Medical Model Synthesis Architectures: A Case Study
MedMSA framework retrieves knowledge via language models then builds formal probabilistic models to produce uncertainty-weighted differential diagnoses from symptoms.