5 papers
A Diagnostic Framework for AI Agent Behavior
Xichen Zhang, Yingjie Zhang, Tianshu Sun
AI agents increasingly act within the same clinical, political, scientific, and social systems that behavioral scientists study. Evaluating these systems requires source-level diag…
Feature Resemblance: Towards a Theoretical Understanding of Analogical Reasoning in Transformers
Ruichen Xu, Wenjing Yan, Ying-Jun Angela Zhang
Understanding reasoning in large language models is complicated by evaluations that conflate multiple reasoning types. We isolate analogical reasoning, where a model transfers an a…
Agents for Experiments, Experiments for Agents: A Design Grammar for AI-Enabled Experimental Science
Yingjie Zhang, Chun Feng, Weizhang Zhu +1
AI systems are becoming active participants in organizational and knowledge work. They increasingly interact with humans, coordinate workflows, and operate in multi-agent arrangeme…
Visioning Human-Agentic AI Teaming: Continuity, Tension, and Future Research
Bowen Lou, Tian Lu, T. S. Raghu +1
Artificial intelligence is undergoing a structural transformation marked by the rise of agentic systems capable of open-ended action trajectories, generative representations and ou…
Unraveling Human-AI Teaming: A Review and Outlook
Bowen Lou, Tian Lu, T. S. Raghu +1
Artificial Intelligence (AI) is advancing at an unprecedented pace, with clear potential to enhance decision-making and productivity. Yet, the collaborative decision-making process…