2 papers
cs.CL2025
Who's Asking? Evaluating LLM Robustness to Inquiry Personas in Factual Question Answering
Nil-Jana Akpinar, Chia-Jung Lee, Vanessa Murdock +1
Large Language Models (LLMs) should answer factual questions truthfully, grounded in objective knowledge, regardless of user context such as self-disclosed personal information, or…
cs.CV2024
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation
Riccardo Fogliato, Pratik Patil, Mathew Monfort +1
Model performance evaluation is a critical and expensive task in machine learning and computer vision. Without clear guidelines, practitioners often estimate model accuracy using a…