| Self-Instruct: Aligning Language Model with Self Generated Instructions Y Wang, Y Kordi, S Mishra, A Liu, NA Smith, D Khashabi, H Hajishirzi ACL 2023, 2023 | 1376 | 2023 |
| DEXPERTS: Decoding-Time Controlled Text Generation with Experts and Anti-Experts A Liu, M Sap, X Lu, S Swayamdipta, C Bhagavatula, NA Smith, Y Choi ACL 2021, 2021 | 299 | 2021 |
| Generated knowledge prompting for commonsense reasoning J Liu, A Liu, X Lu, S Welleck, P West, RL Bras, Y Choi, H Hajishirzi ACL 2022, 2022 | 260 | 2022 |
| WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation A Liu, S Swayamdipta, NA Smith, Y Choi EMNLP Findings 2022, 2022 | 198 | 2022 |
| How language model hallucinations can snowball M Zhang, O Press, W Merrill, A Liu, NA Smith ICML 2024, 2023 | 197 | 2023 |
| CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense M Chen, M D’Arcy, A Liu, J Fernandez, D Downey NAACL RepEval workshop, 2019 | 86 | 2019 |
| Inverse Scaling: When Bigger Isn't Better IR McKenzie, A Lyzhov, M Pieler, A Parrish, A Mueller, A Prabhu, ... TMLR 2023, 2023 | 56 | 2023 |
| We're Afraid Language Models Aren't Modeling Ambiguity A Liu, Z Wu, J Michael, A Suhr, P West, A Koller, S Swayamdipta, ... EMNLP 2023, 2023 | 49 | 2023 |
| Tuning Language Models by Proxy A Liu, X Han, Y Wang, Y Tsvetkov, Y Choi, NA Smith COLM 2024, 2024 | 37 | 2024 |
| Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts S Hallinan, A Liu, Y Choi, M Sap ACL 2023, 2023 | 27 | 2023 |
| Bach or Mock? A Grading Function for Chorales in the Style of JS Bach A Fang, A Liu, P Seetharaman, B Pardo ICML Machine Learning for Media Discovery (ML4MD) Workshop 2020, 2020 | 11 | 2020 |
| Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation A Liu, A Fang, G Hadjeres, P Seetharaman, B Pardo ICML Machine Learning for Media Discovery (ML4MD) Workshop, 2020 | 9 | 2020 |
| Multi-sense definition modeling using word sense decompositions R Zhu, T Noraset, A Liu, W Jiang, D Downey arXiv preprint arXiv:1909.09483, 2019 | 7 | 2019 |
| Model selection for deep audio source separation via clustering analysis A Liu, P Seetharaman, B Pardo Workshop on Detection and Classification of Acoustic Scenes and Events …, 2020 | 3 | 2020 |
| Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data? J Hayase*, A Liu*, Y Choi, S Oh, NA Smith NeurIPS 2024, 2024 | 1 | 2024 |
| Decoding-Time Language Model Alignment with Multiple Objectives R Shi, Y Chen, Y Hu, A Liu, N Smith, H Hajishirzi, S Du NeurIPS 2024, 2024 | 1 | 2024 |
| Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models H Gonen, T Blevins, A Liu, L Zettlemoyer, NA Smith arXiv preprint arXiv:2408.06518, 2024 | | 2024 |
| Proceedings of the Third Workshop on Understanding Implicit and Underspecified Language V Pyatkin, D Fried, E Stengel-Eskin, A Liu, S Pezzelle Proceedings of the Third Workshop on Understanding Implicit and …, 2024 | | 2024 |
| That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context? J Lee, A Liu, O Ahia, H Gonen, NA Smith EMNLP Findings 2023, 2023 | | 2023 |
| Comparison of Discourse Surrounding CRISPR/Cas9 in the Media and Peer-Re-viewed Literature D Everett, A Liu, J Pan | | |
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
