Showing 41–60 of 91 results
/ Date/ Name
Feb 10, 2025Who Taught You That? Tracing Teachers in Model DistillationJul 18, 2024NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model InternalsMar 7, 2023Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current ChallengesMay 23, 2023USB: A Unified Summarization Benchmark Across Tasks and DomainsMay 21, 2023Multilingual Simplification of Medical TextsApr 8, 2020Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition ModelsJun 28, 2019Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records DataMay 8, 2020Evidence Inference 2.0: More Data, Better ModelsApr 9, 2021An Empirical Comparison of Instance Attribution Methods for NLPApr 12, 2021Paragraph-level Simplification of Medical TextsJun 14, 2016Active Discriminative Text Representation LearningJul 12, 2024Open (Clinical) LLMs are Sensitive to Instruction PhrasingsApr 15, 2022Evaluating Factuality in Text SimplificationSep 23, 2025Measuring AI "Slop" in TextApr 6, 2026This Treatment Works, Right? Evaluating LLM Sensitivity to Patient Question Framing in Medical QAAug 25, 2020Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document SummarizationApr 30, 2020Learning to Faithfully Rationalize by ConstructionJul 1, 2021Combining Feature and Instance Attribution to Detect ArtifactsSep 21, 2021What Would it Take to get Biomedical QA Systems into Practice?Apr 14, 2021Disentangling Representations of Text by Masking Transformers