most citedUnraveling Human-AI Teaming: A Review and Outlook

6 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

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…

cs.AI2026

Agents for Experiments, Experiments for Agents: A Design Grammar for AI-Enabled Experimental Science

Yingjie Zhang, Chun Feng, Weizhang Zhu +1

Human-AI experiments vary who receives information, who can act, and who holds decision authority. Precise descriptions of individual studies do not by themselves provide a common…

cs.AI2026★ 2 cited

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…

cs.CL2026

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…

cs.HC2025★ 6 cited

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…