24 citations · 81 across the 44 of their papers we have counts for
6 papers · 1 filter
Personalized Assignment to One of Many Treatment Arms via Regularized and Clustered Joint Assignment Forests
Rahul Ladhania, Jann Spiess, Lyle Ungar +1
We consider learning personalized assignments to one of many treatment arms from a randomized controlled trial. Standard methods that estimate heterogeneous treatment effects separ…
An Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives
Young Min Cho, Sunny Rai, Lyle Ungar +2
Mental health conversational agents (a.k.a. chatbots) are widely studied for their potential to offer accessible support to those experiencing mental health challenges. Previous su…
Comparing Styles across Languages: A Cross-Cultural Exploration of Politeness
Shreya Havaldar, Matthew Pressimone, Eric Wong +1
Understanding how styles differ across languages is advantageous for training both humans and computers to generate culturally appropriate text. We introduce an explanation framewo…
Multilingual Language Models are not Multicultural: A Case Study in Emotion
Shreya Havaldar, Sunny Rai, Bhumika Singhal +3
Emotions are experienced and expressed differently across the world. In order to use Large Language Models (LMs) for multilingual tasks that require emotional sensitivity, LMs must…
TopEx: Topic-based Explanations for Model Comparison
Shreya Havaldar, Adam Stein, Eric Wong +1
Meaningfully comparing language models is challenging with current explanation methods. Current explanations are overwhelming for humans due to large vocabularies or incomparable a…
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections
Maria Leonor Pacheco, Tunazzina Islam, Lyle Ungar +2
Experts across diverse disciplines are often interested in making sense of large text collections. Traditionally, this challenge is approached either by noisy unsupervised techniqu…