2025
ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models.
CoRR, May, 2025

Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding.
CoRR, April, 2025

2024
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Evaluating large language models on medical evidence summarization.
npj Digit. Medicine, 2023

Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Trustworthy assertion classification through prompting.
J. Biomed. Informatics, 2022

Prior Knowledge Enhances Radiology Report Generation.
CoRR, 2022

EchoGen: Generating Conclusions from Echocardiogram Notes.
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

Prompt-based Learning for Assertion Classification in Clinical Notes.
Proceedings of the AMIA 2022, 2022

2021
Making Document-Level Information Extraction Right for the Right Reasons.
CoRR, 2021

RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification.
Proceedings of the Machine Learning for Health, 2021

Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays.
CoRR, 2020