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Sarah Wiegreffe
Sarah Wiegreffe
Allen Institute for AI & University of Washington
Verified email at allenai.org - Homepage
Title
Cited by
Cited by
Year
Attention is not not Explanation
S Wiegreffe, Y Pinter
Empirical Methods in Natural Language Processing (EMNLP) 2019, 2019
11402019
Self-refine: Iterative refinement with self-feedback
A Madaan, N Tandon, P Gupta, S Hallinan, L Gao, S Wiegreffe, U Alon, ...
Neural Information Processing Systems (NeurIPS) 2023, 2023
9872023
Explainable Prediction of Medical Codes from Clinical Text
J Mullenbach, S Wiegreffe, J Duke, J Sun, J Eisenstein
North American Association for Computational Linguistics (NAACL) 2018, 2018
7132018
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing
S Wiegreffe, A Marasovic
Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021
201*2021
Learning to Faithfully Rationalize by Construction
S Jain, S Wiegreffe, Y Pinter, BC Wallace
Association for Computational Linguistics (ACL) 2020, 2020
1822020
Measuring Association Between Labels and Free-Text Rationales
S Wiegreffe, A Marasovic, NA Smith
Empirical Methods in Natural Language Processing (EMNLP) 2021, 2020
1622020
Reframing Human-AI Collaboration for Generating Free-Text Explanations
S Wiegreffe, J Hessel, S Swayamdipta, M Riedl, Y Choi
NAACL 2022, 2021
1402021
Editing Common Sense in Transformers
A Gupta, D Mondal, AK Sheshadri, W Zhao, XL Li, S Wiegreffe, N Tandon
Empirical Methods in Natural Language Processing (EMNLP) 2023, 2023
33*2023
Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning
X Peng, S Li, S Wiegreffe, M Riedl
Findings of EMNLP 2022, 2022
332022
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks
P Hase, M Bansal, P Clark, S Wiegreffe
Annual Meeting of the Association for Computational Linguistics (ACL) 2024, 2024
162024
Clinical Concept Extraction for Document-Level Coding
S Wiegreffe, E Choi, S Yan, J Sun, J Eisenstein
Proceedings of the 18th BioNLP Workshop and Shared Task at ACL 2019, 261–272, 2019
152019
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes
K Xie, S Wiegreffe, M Riedl
Findings of EMNLP 2022, 2022
102022
The Art of Saying No: Contextual Noncompliance in Language Models
F Brahman, S Kumar, V Balachandran, P Dasigi, V Pyatkin, ...
Neural Information Processing Systems (NeurIPS) Datasets & Benchmarks 2024, 2024
92024
Explanation in the Era of Large Language Models
Z Zhu, H Chen, X Ye, Q Lyu, C Tan, A Marasović, S Wiegreffe
Proceedings of the 2024 Conference of the North American Chapter of the …, 2024
52024
Answer, Assemble, Ace: Understanding How Transformers Answer Multiple Choice Questions
S Wiegreffe, O Tafjord, Y Belinkov, H Hajishirzi, A Sabharwal
arXiv preprint arXiv:2407.15018, 2024
32024
Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy
S Wiegreffe, M Finlayson, O Tafjord, P Clark, A Sabharwal
Empirical Methods in Natural Language Processing (EMNLP) 2023, 2023
32023
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
Y Elazar, B Paranjape, H Peng, S Wiegreffe, K Raghavi, V Srikumar, ...
Findings of Empirical Methods in Natural Language Processing (EMNLP) 2024, 2023
22023
Mechanistic?
N Saphra, S Wiegreffe
BlackBoxNLP Workshop at EMNLP 2024, 2024
12024
Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning
S Palta, N Balepur, P Rankel, S Wiegreffe, M Carpuat, R Rudinger
Findings of Empirical Methods in Natural Language Processing (EMNLP) 2024, 2024
12024
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
J Bastings, Y Belinkov, Y Elazar, D Hupkes, N Saphra, S Wiegreffe
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting …, 2022
12022
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Articles 1–20