Showing 1–20 of 76 results
/ Date/ Name
Mar 18, 2024A Closer Look at Claim DecompositionMay 22, 2023Transferring Fairness using Multi-Task Learning with Limited Demographic InformationJun 22, 2022Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression DiagnosesMay 24, 2025MedScore: Generalizable Factuality Evaluation of Free-Form Medical Answers by Domain-adapted Claim Decomposition and VerificationNov 10, 2020On the State of Social Media Data for Mental Health ResearchMay 1, 2020Using Noisy Self-Reports to Predict Twitter User DemographicsNov 15, 2023An Eye on Clinical BERT: Investigating Language Model Generalization for Diabetic Eye Disease PhenotypingNov 16, 2020Examining the Feasibility of Off-the-Shelf Algorithms for Masking Directly Identifiable Information in Social Media DataApr 16, 2021Improving Zero-Shot Multi-Lingual Entity LinkingApr 11, 2021Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic ModelingJun 22, 2022The Problem of Semantic Shift in Longitudinal Monitoring of Social Media: A Case Study on Mental Health During the COVID-19 PandemicMar 30, 2023BloombergGPT: A Large Language Model for FinanceFeb 28, 2024Benchmarking Large Language Models on Answering and Explaining Challenging Medical QuestionsNov 15, 2022Using Open-Ended Stressor Responses to Predict Depressive Symptoms across DemographicsAug 1, 2021Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level InformationMar 18, 2021Gender and Racial Fairness in Depression Research using Social MediaJun 20, 2016Twitter as a Source of Global Mobility Patterns for Social GoodMar 21, 2013Estimating Confusions in the ASR Channel for Improved Topic-based Language Model AdaptationApr 25, 2025Understanding and Mitigating Risks of Generative AI in Financial ServicesNov 14, 2023Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models