Showing 21–40 of 90 results
/ Date/ Name
Feb 4, 2023How Many and Which Training Points Would Need to be Removed to Flip this Prediction?May 5, 2023Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMsNov 8, 2023Future Lens: Anticipating Subsequent Tokens from a Single Hidden StateFeb 28, 2024How Much Annotation is Needed to Compare Summarization Models?Feb 15, 2024Towards Reducing Diagnostic Errors with Interpretable Risk PredictionMay 14, 2020Explaining Black Box Predictions and Unveiling Data Artifacts through Influence FunctionsOct 2, 2018Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree DecodingDec 12, 2018Structured Neural Topic Models for ReviewsApr 2, 2019Inferring Which Medical Treatments Work from Reports of Clinical TrialsNov 8, 2019ERASER: A Benchmark to Evaluate Rationalized NLP ModelsApr 9, 2020Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can ImproveNov 18, 2016Neural Information Retrieval: A Literature ReviewJan 31, 2023Do Multi-Document Summarization Models Synthesize?May 8, 2023Revisiting Relation Extraction in the era of Large Language ModelsMay 2, 2024Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language ModelsApr 30, 2017Quantifying Mental Health from Social Media with Neural User EmbeddingsSep 29, 2025Circuit DistillationNov 25, 2024Do Automatic Factuality Metrics Measure Factuality? A Critical EvaluationJun 20, 2024Investigating Mysteries of CoT-Augmented DistillationJun 13, 2024Learning from Natural Language Explanations for Generalizable Entity Matching