3 citations · 3 across the 3 of their papers we have counts for
3 papers
Beyond Confidence: Rethinking Self-Assessments for Performance Prediction in LLMs
Sree Bhattacharyya, Samarth Khanna, Leona Chen +3
Large Language Models (LLMs) are increasingly used in settings where reliable self-assessment is critical. Assessing model reliability has evolved from using probabilistic correctn…
Too Categorical to be Human: Emotion Concepts in LLMs and Humans
Sree Bhattacharyya, Evgenii Kuriabov, Lucas Craig +4
Understanding human emotions is central to user-facing AI applications, safety alignment, and the simulation of human behavior. As emotional stimuli shape high-stakes behavior in L…
Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses
Ehsanul Kabir, Lucas Craig, Shagufta Mehnaz
As machine learning (ML) technologies become more prevalent in privacy-sensitive areas like healthcare and finance, eventually incorporating sensitive information in building data-…