Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal. Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy. EMNLP 2023. PDF, code
Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Lorraine Li, Sarah Wiegreffe, Niket Tandon. Editing Common Sense in Transformers. EMNLP 2023. PDF, code
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, Peter Clark. Self-Refine: Iterative Refinement with Self-Feedback. NeurIPS 2023. PDF, code, website
Kaige Xie, Sarah Wiegreffe, Mark Riedl. Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes. Findings of EMNLP 2022. PDF, conference video
Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark Riedl. Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning. Findings of EMNLP 2022. PDF, code, conference video
Sarah Wiegreffe. Interpreting Neural Networks *for* and *with* Natural Language. PhD Dissertation. PDF
Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark Riedl, Yejin Choi. Reframing Human-AI Collaboration for Generating Free-Text Explanations. NAACL 2022. PDF, code, conference video
Sarah Wiegreffe and Ana Marasović (equal contribution). Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing. NeurIPS 2021 Datasets and Benchmarks. PDF, companion website, conference video
Sarah Wiegreffe, Ana Marasović, Noah A. Smith. Measuring Association Between Labels and Free-Text Rationales. EMNLP 2021. PDF, code, conference video
Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron Wallace. Learning to Faithfully Rationalize by Construction. ACL 2020. PDF, code, conference video
Sarah Wiegreffe and Yuval Pinter (equal contribution). Attention is not not Explanation. EMNLP 2019. Oral presentation. PDF, code, conference talk, talk slides, non-technical blogpost
Sarah Wiegreffe, Gerardo Flores, Edward Choi, Andrew Dai. Learning Bi-Directional Clinical Event Representations: A Comparison of Architectures. Preprint (available upon request). 2019.
Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein. Clinical Concept Extraction for Document-Level Coding. BioNLP Workshop at ACL 2019. PDF, poster
James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein. Explainable Prediction of Medical Codes from Clinical Text. NAACL 2018. Oral presentation. PDF, code, talk slides (Google Drive)
Sarah Wiegreffe, Paul Anderson, Jihad Obeid. Can Classifications of Publications by Translational Categories be Automated? American Medical Informatics Association (AMIA) Joint Summits on Translational Science 2017. PDF, poster