From the 2 of 14 linked papers with an AI index.
14 papers
Human-AI Synergy Supports Collective Creative Search
Chenyi Li, Raja Marjieh, Haoyu Hu +4
The paper investigates how humans and generative AI can work together in a word‑guessing game, finding that hybrid human‑AI teams achieve higher performance while maintaining diver…
Metacognition in LLMs: Foundations, Progress, and Opportunities
Gabrielle Kaili-May Liu, Areeb Gani, Jacqueline Lu +3
The paper surveys recent work on metacognition in large language models, reviewing methods, benchmarks, and applications for measuring and improving models' self‑reflective abiliti…
Generalization of Fine-Tuned Uncertainty Communication and Metacognition in Large Language Models
Mark Steyvers, Catarina Belem, Padhraic Smyth
Background. Large language models are increasingly used in settings where confident but incorrect answers can mislead users. Reliable uncertainty communication requires a form of m…
From `May' to `Is': Certainty Distortion in Language Model Rewriting
Catarina G Belem, Shang Wu, Hongyu Yao +3
Humans increasingly turn to Language Models (LMs) in ways that shape beliefs and drive decisions, including discussing, rewriting, and summarizing information from scientific artic…
The Impact of AI Usage and Informativeness on Skill Development in Logical Reasoning
Shang Wu, Hongyu Yao, Catarina Belem +3
Artificial intelligence (AI) is being increasingly integrated into human problem-solving, yet its effects on individual skill development remain unclear. We examine how both AI usa…
Learning to Trust: How Humans Mentally Recalibrate AI Confidence Signals
ZhaoBin Li, Mark Steyvers
Productive human-AI collaboration requires appropriate reliance, yet contemporary AI systems are often miscalibrated, exhibiting systematic overconfidence or underconfidence. We in…