2 citations · 3 across the 4 of their papers we have counts for
4 papers
Evaluating Social Engineering Risks in AI-based Interaction using Biometrics and a Gaming Setup
Roberto Daza, Javier Irigoyen, Ivan Lopez +5
We introduce AIriskEval-gaming, an open platform and dataset to evaluate social engineering risks in LLM-mediated multimodal interaction through controlled games. It supports human…
"Are you an AI?" Analyzing Client Suspicion of AI Use in Crisis Counseling
Shreya Shah, Akshay Swaminathan, Meghana Simhadri +14
As artificial intelligence (AI) tools get increasingly deployed for mental healthcare, public trust in these systems remains uncertain. It is unclear how clients perceive AI involv…
Distilling Large Language Models for Efficient Clinical Information Extraction
Karthik S. Vedula, Annika Gupta, Akshay Swaminathan +3
Large language models (LLMs) excel at clinical information extraction but their computational demands limit practical deployment. Knowledge distillation--the process of transferrin…
FactEHR: A Dataset for Evaluating Factuality in Clinical Notes Using LLMs
Monica Munnangi, Akshay Swaminathan, Jason Alan Fries +8
Verifying and attributing factual claims is essential for the safe and effective use of large language models (LLMs) in healthcare. A core component of factuality evaluation is fac…