| Attention is not not Explanation S Wiegreffe, Y Pinter Empirical Methods in Natural Language Processing (EMNLP) 2019, 2019 | 1136 | 2019 |
| 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 | 965 | 2023 |
| 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 | 710 | 2018 |
| 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 | 182 | 2020 |
| Measuring Association Between Labels and Free-Text Rationales S Wiegreffe, A Marasovic, NA Smith Empirical Methods in Natural Language Processing (EMNLP) 2021, 2020 | 162 | 2020 |
| Reframing Human-AI Collaboration for Generating Free-Text Explanations S Wiegreffe, J Hessel, S Swayamdipta, M Riedl, Y Choi NAACL 2022, 2021 | 140 | 2021 |
| 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 | 33 | 2022 |
| 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 | 16 | 2024 |
| 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 | 15 | 2019 |
| Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes K Xie, S Wiegreffe, M Riedl Findings of EMNLP 2022, 2022 | 10 | 2022 |
| 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 | 9 | 2024 |
| 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 | 5 | 2024 |
| 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 | 3 | 2024 |
| 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 | 3 | 2023 |
| 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 | 2 | 2023 |
| Mechanistic? N Saphra, S Wiegreffe BlackBoxNLP Workshop at EMNLP 2024, 2024 | 1 | 2024 |
| 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 | 1 | 2024 |
| 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 | 1 | 2022 |
Peter ClarkAllen Institute for Artificial Intelligence (AI2)Bestätigte E-Mail-Adresse bei allenai.org
