69 citations · 87 across the 9 of their papers we have counts for
3 papers · 1 filter
Evaluating and Characterizing Human Rationales
Samuel Carton, Anirudh Rathore, Chenhao Tan
Two main approaches for evaluating the quality of machine-generated rationales are: 1) using human rationales as a gold standard; and 2) automated metrics based on how rationales a…
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification
Cristina Garbacea, Mengtian Guo, Samuel Carton +1
Text simplification reduces the language complexity of professional content for accessibility purposes. End-to-end neural network models have been widely adopted to directly genera…
Harnessing Explanations to Bridge AI and Humans
Vivian Lai, Samuel Carton, Chenhao Tan
Machine learning models are increasingly integrated into societally critical applications such as recidivism prediction and medical diagnosis, thanks to their superior predictive p…