182 citations · 225 across the 13 of their papers we have counts for
13 papers
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…
Bayesian Inference for Correlated Human Experts and Classifiers
Markelle Kelly, Alex Boyd, Sam Showalter +2
Applications of machine learning often involve making predictions based on both model outputs and the opinions of human experts. In this context, we investigate the problem of quer…
Understanding Gender Bias in AI-Generated Product Descriptions
Markelle Kelly, Mohammad Tahaei, Padhraic Smyth +1
While gender bias in large language models (LLMs) has been extensively studied in many domains, uses of LLMs in e-commerce remain largely unexamined and may reveal novel forms of a…
Perceptions of Linguistic Uncertainty by Language Models and Humans
Catarina G Belem, Markelle Kelly, Mark Steyvers +2
_Uncertainty expressions_ such as "probably" or "highly unlikely" are pervasive in human language. While prior work has established that there is population-level agreement in term…
JANET: Joint Adaptive predictioN-region Estimation for Time-series
Eshant English, Eliot Wong-Toi, Matteo Fontana +3
Conformal prediction provides machine learning models with prediction sets that offer theoretical guarantees, but the underlying assumption of exchangeability limits its applicabil…
Anomaly Detection of Tabular Data Using LLMs
Aodong Li, Yunhan Zhao, Chen Qiu +4
Large language models (LLMs) have shown their potential in long-context understanding and mathematical reasoning. In this paper, we study the problem of using LLMs to detect tabula…