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 | 103 | 2021 |
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 | 80 | 2023 |
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation A Liu, S Swayamdipta, NA Smith, Y Choi EMNLP Findings, 2022 | 66 | 2022 |
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 | 60 | 2019 |
Generated knowledge prompting for commonsense reasoning J Liu, A Liu, X Lu, S Welleck, P West, RL Bras, Y Choi, H Hajishirzi ACL, 2022 | 48 | 2022 |
Multi-sense definition modeling using word sense decompositions R Zhu, T Noraset, A Liu, W Jiang, D Downey arXiv preprint arXiv:1909.09483, 2019 | 6 | 2019 |
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 | 5 | 2020 |
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 | 4 | 2020 |
Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts S Hallinan, A Liu, Y Choi, M Sap ACL, 2023 | 3 | 2023 |
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 |
We're Afraid Language Models Aren't Modeling Ambiguity A Liu, Z Wu, J Michael, A Suhr, P West, A Koller, S Swayamdipta, ... arXiv preprint arXiv:2304.14399, 2023 | 2 | 2023 |
How Language Model Hallucinations Can Snowball M Zhang, O Press, W Merrill, A Liu, NA Smith arXiv preprint arXiv:2305.13534, 2023 | | 2023 |
Comparison of Discourse Surrounding CRISPR/Cas9 in the Media and Peer-Re-viewed Literature D Everett, A Liu, J Pan | | |