3 papers
cs.CL2026
When Large Language Models are More PersuasiveThan Incentivized Humans, and Why
Philipp Schoenegger, Francesco Salvi, Jiacheng Liu +39
Large Language Models (LLMs) have been shown to be highly persuasive, but when and why they outperform humans is still an open question. We compare the persuasiveness of two LLMs (…
cs.AI2026
Imagining and building wise machines: The centrality of AI metacognition
Samuel G. B. Johnson, Amir-Hossein Karimi, Yoshua Bengio +8
Although AI has become increasingly smart, its wisdom has not kept pace. In this article, we examine what is known about human wisdom and sketch a vision of its AI counterpart. We…
cs.HC2025
Chrysalis: A Unified System for Comparing Active Teaching and Passive Learning with AI Agents in Education
Prashanth Arun, Vinita Vader, Erya Xu +6
AI-assisted learning has seen a remarkable uptick over the last few years, mainly due to the rise in popularity of Large Language Models (LLMs). Their ability to hold long-form, na…