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Sarah Wiegreffe
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Books and Theses
- 2022
- [b1]Sarah Wiegreffe:
Interpreting Neural Networks for and with Natural Language. Georgia Institute of Technology, Atlanta, GA, USA, 2022
Conference and Workshop Papers
- 2024
- [c13]Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe:
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks. ACL (1) 2024: 7002-7024 - 2023
- [c12]Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Li, Sarah Wiegreffe, Niket Tandon:
Editing Common Sense in Transformers. EMNLP 2023: 8214-8232 - [c11]Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal:
Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy. EMNLP 2023: 8392-8417 - [c10]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 - 2022
- [c9]Kaige Xie, Sarah Wiegreffe, Mark O. Riedl:
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes. EMNLP (Findings) 2022: 2888-2902 - [c8]Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark O. Riedl:
Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning. EMNLP (Findings) 2022: 7008-7029 - [c7]Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi:
Reframing Human-AI Collaboration for Generating Free-Text Explanations. NAACL-HLT 2022: 632-658 - 2021
- [c6]Sarah Wiegreffe, Ana Marasovic, Noah A. Smith:
Measuring Association Between Labels and Free-Text Rationales. EMNLP (1) 2021: 10266-10284 - [c5]Sarah Wiegreffe, Ana Marasovic:
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing. NeurIPS Datasets and Benchmarks 2021 - 2020
- [c4]Sarthak Jain, Sarah Wiegreffe, Yuval Pinter
, Byron C. Wallace:
Learning to Faithfully Rationalize by Construction. ACL 2020: 4459-4473 - 2019
- [c3]Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein:
Clinical Concept Extraction for Document-Level Coding. BioNLP@ACL 2019: 261-272 - [c2]Sarah Wiegreffe, Yuval Pinter
:
Attention is not not Explanation. EMNLP/IJCNLP (1) 2019: 11-20 - 2018
- [c1]James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein:
Explainable Prediction of Medical Codes from Clinical Text. NAACL-HLT 2018: 1101-1111
Editorship
- 2022
- [e1]Jasmijn Bastings, Yonatan Belinkov, Yanai Elazar, Dieuwke Hupkes, Naomi Saphra, Sarah Wiegreffe:
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2022, Abu Dhabi, United Arab Emirates (Hybrid), December 8, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-05-0 [contents]
Informal and Other Publications
- 2024
- [i16]Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe:
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks. CoRR abs/2401.06751 (2024) - [i15]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:
The Art of Saying No: Contextual Noncompliance in Language Models. CoRR abs/2407.12043 (2024) - [i14]Sarah Wiegreffe, Oyvind Tafjord, Yonatan Belinkov, Hannaneh Hajishirzi, Ashish Sabharwal:
Answer, Assemble, Ace: Understanding How Transformers Answer Multiple Choice Questions. CoRR abs/2407.15018 (2024) - 2023
- [i13]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:
Self-Refine: Iterative Refinement with Self-Feedback. CoRR abs/2303.17651 (2023) - [i12]Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal:
Attentiveness to Answer Choices Doesn't Always Entail High QA Accuracy. CoRR abs/2305.14596 (2023) - [i11]Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Lorraine Li, Sarah Wiegreffe, Niket Tandon:
Editing Commonsense Knowledge in GPT. CoRR abs/2305.14956 (2023) - [i10]Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu Raghavi, Vivek Srikumar, Sameer Singh, Noah A. Smith:
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. CoRR abs/2311.09605 (2023) - 2022
- [i9]Kaige Xie, Sarah Wiegreffe, Mark O. Riedl:
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes. CoRR abs/2204.07693 (2022) - 2021
- [i8]Sarah Wiegreffe, Ana Marasovic:
Teach Me to Explain: A Review of Datasets for Explainable NLP. CoRR abs/2102.12060 (2021) - [i7]Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark O. Riedl:
Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning. CoRR abs/2105.01311 (2021) - [i6]Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi:
Reframing Human-AI Collaboration for Generating Free-Text Explanations. CoRR abs/2112.08674 (2021) - 2020
- [i5]Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace:
Learning to Faithfully Rationalize by Construction. CoRR abs/2005.00115 (2020) - [i4]Sarah Wiegreffe, Ana Marasovic, Noah A. Smith:
Measuring Association Between Labels and Free-Text Rationales. CoRR abs/2010.12762 (2020) - 2019
- [i3]Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein:
Clinical Concept Extraction for Document-Level Coding. CoRR abs/1906.03380 (2019) - [i2]Sarah Wiegreffe, Yuval Pinter:
Attention is not not Explanation. CoRR abs/1908.04626 (2019) - 2018
- [i1]James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein:
Explainable Prediction of Medical Codes from Clinical Text. CoRR abs/1802.05695 (2018)
Coauthor Index
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