Sarah Wiegreffe

According to our database, Sarah Wiegreffe authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Mechanistic?

Naomi Saphra, Sarah Wiegreffe

CoRR, 2024

Answer, Assemble, Ace: Understanding How Transformers Answer Multiple Choice Questions.

Sarah Wiegreffe, Oyvind Tafjord, Yonatan Belinkov, Hannaneh Hajishirzi, Ashish Sabharwal

CoRR, 2024

The Art of Saying No: Contextual Noncompliance in Language Models.

Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Raghavi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi

CoRR, 2024

Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning.

Shramay Palta, Nishant Balepur, Peter Rankel, Sarah Wiegreffe, Marine Carpuat, Rachel Rudinger

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals.

Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Raghavi Chandu, Vivek Srikumar, Sameer Singh, Noah A. Smith

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

The Unreasonable Effectiveness of Easy Training Data for Hard Tasks.

Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Editing Commonsense Knowledge in GPT.

Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Lorraine Li, Sarah Wiegreffe, Niket Tandon

CoRR, 2023

Attentiveness to Answer Choices Doesn't Always Entail High QA Accuracy.

Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal

CoRR, 2023

Self-Refine: Iterative Refinement with Self-Feedback.

Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Sean Welleck, Bodhisattwa Prasad Majumder, Shashank Gupta, Amir Yazdanbakhsh, Peter Clark

CoRR, 2023

Self-Refine: Iterative Refinement with Self-Feedback.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy.

Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Editing Common Sense in Transformers.

Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Li, Sarah Wiegreffe, Niket Tandon

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Interpreting Neural Networks for and with Natural Language.

Sarah Wiegreffe

PhD thesis, 2022

Reframing Human-AI Collaboration for Generating Free-Text Explanations.

Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes.

Kaige Xie, Sarah Wiegreffe, Mark O. Riedl

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning.

Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark O. Riedl

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Teach Me to Explain: A Review of Datasets for Explainable NLP.

Sarah Wiegreffe, Ana Marasovic

CoRR, 2021

Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing.

Sarah Wiegreffe, Ana Marasovic

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Measuring Association Between Labels and Free-Text Rationales.

Sarah Wiegreffe, Ana Marasovic, Noah A. Smith

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Learning to Faithfully Rationalize by Construction.

Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Attention is not not Explanation.

Sarah Wiegreffe, Yuval Pinter

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Clinical Concept Extraction for Document-Level Coding.

Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein

Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

2018

Explainable Prediction of Medical Codes from Clinical Text.

James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018