Byron Wallace

Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains EACL 2024 FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence ACL 2024 How Much Annotation is Needed to Compare Summarization Models? NAACL 2024 InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification ACL 2024 Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study EACL 2024 On-the-fly Definition Augmentation of LLMs for Biomedical NER NAACL 2024 Towards Reducing Diagnostic Errors with Interpretable Risk Prediction NAACL 2024 Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews EMNLP 2023 Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges EACL 2023 CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models EMNLP 2023 Future Lens: Anticipating Subsequent Tokens from a Single Hidden State CoNLL 2023 Multilingual Simplification of Medical Texts EMNLP 2023 NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization EACL 2023 RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media EACL 2023 Revisiting Relation Extraction in the era of Large Language Models ACL 2023 SemEval-2023 Task 8: Causal Medical Claim Identification and Related PIO Frame Extraction from Social Media Posts SemEval 2023 Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success) ACL 2023 USB: A Unified Summarization Benchmark Across Tasks and Domains EMNLP 2023 Combining Feature and Instance Attribution to Detect Artifacts ACL 2022 Evaluating Factuality in Text Simplification ACL 2022 Influence Functions for Sequence Tagging Models EMNLP 2022 Intermediate Entity-based Sparse Interpretable Representation Learning EMNLP 2022 Learning to Ask Like a Physician NAACL 2022 Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews COLING 2022 PHEE: A Dataset for Pharmacovigilance Event Extraction from Text EMNLP 2022 Self-Repetition in Abstractive Neural Summarizers AACL 2022 That’s the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data EMNLP 2022 An Empirical Comparison of Instance Attribution Methods for NLP NAACL 2021 Biomedical Interpretable Entity Representations ACL 2021 Disentangling Representations of Text by Masking Transformers EMNLP 2021 Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? NAACL 2021 On the Impact of Random Seeds on the Fairness of Clinical Classifiers NAACL 2021 Paragraph-level Simplification of Medical Texts NAACL 2021 Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data EMNLP 2021 What Would it Take to get Biomedical QA Systems into Practice? EMNLP 2021 Browsing Health: Information Extraction to Support New Interfaces for Accessing Medical Evidence NAACL 2019 Structured Neural Topic Models for Reviews AISTATS 2019 A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature ACL 2018 Syntactic Patterns Improve Information Extraction for Medical Search NAACL 2018 Aggregating and Predicting Sequence Labels from Crowd Annotations ACL 2017 A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification IJCNLP 2017 Multiple Narrative Disentanglement: Unraveling Infinite Jest NAACL 2012