7 citations · 10 across the 11 of their papers we have counts for
5 papers · 1 filter
Training Language Models To Be Coherent Decision-Makers
Khurram Yamin, Xavier Fernandes, Paul Koch +2
Reliable decision-making requires more than accurate prediction: a model must preserve its beliefs, apply the relevant utilities, and recognize when the information needed to justi…
High-Stakes Decisions with Language Models: Insights from Emergency Triage
Khurram Yamin, Christopher Kelly, Bryan Wilder +1
High-stakes decisions under uncertainty, such as medical emergency triage, require more than accurate predictions. They depend on estimating the likelihood of alternative outcomes…
Psychological Influences of Conversational AI: Research and Design Directions for Reducing Harm and Promoting Well-Being
Jina Suh, Mihaela Vorvoreanu, Forough Poursabzi-Sangdeh +5
As conversational AI systems become increasingly integrated into daily life, their potential effects on user well-being require ongoing attention. While consumer-facing generalist…
When Agents Say One Thing and Do Another: Validating Elicited Beliefs from LLMs
Khurram Yamin, Jingjing Tang, Santiago Cortes-Gomez +3
Large language models (LLMs) are increasingly deployed in high-stakes settings where good decisions require forming beliefs over the probability of unknown outcomes. However, it is…
Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning
Martina G. Vilas, Safoora Yousefi, Besmira Nushi +2
Reasoning models improve their problem-solving ability through inference-time scaling, allocating more compute via longer token budgets. Identifying which reasoning traces are like…