Showing 1–12 of 12 results
/ Date/ Name
May 1, 2020Using Noisy Self-Reports to Predict Twitter User DemographicsOct 1, 2018Challenges of Using Text Classifiers for Causal InferenceFeb 10, 2021Generating Synthetic Text Data to Evaluate Causal Inference MethodsApr 16, 2021Faithful and Plausible Explanations of Medical Code PredictionsMar 14, 2025Don't Forget It! Conditional Sparse Autoencoder Clamping Works for UnlearningAug 15, 2021The Proximal ID AlgorithmDec 17, 2024Can You Trust LLM Judgments? Reliability of LLM-as-a-JudgeOct 13, 2020Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism MovementSep 29, 2023Segment Anything Model is a Good Teacher for Local Feature LearningNov 5, 2024Controlling for Unobserved Confounding with Large Language Model Classification of Patient Smoking StatusSep 2, 2021Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and BeyondOct 30, 2024Reliability of Topic Modeling