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Chris J. Kuhlman

2 papers indexed

arxivcs.AIcs.SI2026-07-16

Collaborative Spatial Learning with Multi-LLM Agents in Networked Social Experiments

Hao He, Chris J. Kuhlman, Xinwei Deng

Collective problem solving often requires that group members consider the tradeoff between exploitation of known solutions and exploration for new ones, where information of known solutions can be disseminated among individual members through communication networks. The Mason--Wa…

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arxivstat.MEcs.AI2026-07-07

An Experimental Design Approach to Evaluating Agentic AI's Autonomous Model Discovery

Hao He, Xueying Liu, Chris J. Kuhlman, Xinwei Deng

Large language model coding agents increasingly perform open-ended data modeling and analysis. These agents are stochastic and adaptive, and therefore their autonomous model discovery behavior cannot be adequately characterized by a single benchmark run. In this work, we propose…

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