4 papers
From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review
Yaohui Zhang, Haijing Zhang, Wenlong Ji +4
The advent of large language models (LLMs) offers unprecedented opportunities to reimagine peer review beyond the constraints of traditional workflows. Despite these opportunities,…
Validating Generative Agent-Based Models of Social Norm Enforcement: From Replication to Novel Predictions
Logan Cross, Nick Haber, Daniel L. K. Yamins
As large language models (LLMs) advance, there is growing interest in using them to simulate human social behavior through generative agent-based modeling (GABM). However, validati…
Understanding Human Limits in Pattern Recognition: A Computational Model of Sequential Reasoning in Rock, Paper, Scissors
Logan Cross, Erik Brockbank, Tobias Gerstenberg +3
How do we predict others from patterns in their behavior and what are the computational constraints that limit this ability? We investigate these questions by modeling human behavi…
When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration
Quan Shi, Carlos E. Jimenez, Shunyu Yao +3
Recent advancements in AI reasoning have driven substantial improvements across diverse tasks. A critical open question is whether these improvements also yields better knowledge t…