| Green ai R Schwartz, J Dodge, NA Smith, O Etzioni Communications of the ACM 63 (12), 54-63, 2020 | 1376 | 2020 |
| Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... | 1308 | 2023 |
| Retrofitting word vectors to semantic lexicons M Faruqui, J Dodge, SK Jauhar, C Dyer, E Hovy, NA Smith NAACL 2015, 2015 | 1143 | 2015 |
| Key-value memory networks for directly reading documents A Miller, A Fisch, J Dodge, AH Karimi, A Bordes, J Weston EMNLP 2016, 2016 | 1117 | 2016 |
| Midge: Generating image descriptions from computer vision detections M Mitchell, J Dodge, A Goyal, K Yamaguchi, K Stratos, X Han, A Mensch, ... Proceedings of the 13th Conference of the European Chapter of the …, 2012 | 565 | 2012 |
| Fine-tuning pretrained language models: Weight initializations, data orders, and early stopping J Dodge, G Ilharco, R Schwartz, A Farhadi, H Hajishirzi, N Smith arXiv preprint arXiv:2002.06305, 2020 | 562 | 2020 |
| Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus J Dodge, M Sap, A Marasovic, W Agnew, G Ilharco, D Groeneveld, ... EMNLP 2021, 2021 | 337 | 2021 |
| Show your work: Improved reporting of experimental results J Dodge, S Gururangan, D Card, R Schwartz, NA Smith EMNLP 2019, 2019 | 258 | 2019 |
| Evaluating prerequisite qualities for learning end-to-end dialog systems J Dodge, A Gane, X Zhang, A Bordes, S Chopra, A Miller, A Szlam, ... ICLR 2016, 2016 | 223 | 2016 |
| Can machines learn morality? the delphi experiment L Jiang, JD Hwang, C Bhagavatula, RL Bras, J Liang, J Dodge, ... arXiv preprint arXiv:2110.07574, 2021 | 177* | 2021 |
| Understanding and predicting importance in images AC Berg, TL Berg, H Daume, J Dodge, A Goyal, X Han, A Mensch, ... 2012 IEEE Conference on Computer Vision and Pattern Recognition, 3562-3569, 2012 | 168 | 2012 |
| The Right Tool for the Job: Matching Model and Instance Complexities R Schwartz, G Stanovsky, S Swayamdipta, J Dodge, NA Smith ACL 2020, 2020 | 158 | 2020 |
| Measuring the carbon intensity of ai in cloud instances J Dodge, T Prewitt, R Tachet des Combes, E Odmark, R Schwartz, ... FAccT 2022, 2022 | 129 | 2022 |
| Context-dependent Semantic Parsing for Time Expressions K Lee, Y Artzi, J Dodge, L Zettlemoyer Association for Computational Linguistics, 2014 | 111 | 2014 |
| Multimodal c4: An open, billion-scale corpus of images interleaved with text W Zhu, J Hessel, A Awadalla, SY Gadre, J Dodge, A Fang, Y Yu, ... Advances in Neural Information Processing Systems 36, 2024 | 100 | 2024 |
| Competency Problems: On Finding and Removing Artifacts in Language Data M Gardner, W Merrill, J Dodge, ME Peters, A Ross, S Singh, N Smith EMNLP 2021, 2021 | 83 | 2021 |
| Large scale retrieval and generation of image descriptions V Ordonez, X Han, P Kuznetsova, G Kulkarni, M Mitchell, K Yamaguchi, ... International Journal of Computer Vision 119, 46-59, 2016 | 83 | 2016 |
| Efficient Methods for Natural Language Processing: A Survey M Treviso, T Ji, JU Lee, B van Aken, Q Cao, MR Ciosici, M Hassid, ... TACL 2023, 2023 | 69 | 2023 |
| Evaluating the social impact of generative ai systems in systems and society I Solaiman, Z Talat, W Agnew, L Ahmad, D Baker, SL Blodgett, C Chen, ... arXiv preprint arXiv:2306.05949, 2023 | 59 | 2023 |
| Data governance in the age of large-scale data-driven language technology Y Jernite, H Nguyen, S Biderman, A Rogers, M Masoud, V Danchev, ... FAccT 2022, 2022 | 58 | 2022 |
Noah A. SmithUniversity of Washington; Allen Institute for Artificial Intelligence在 cs.washington.edu 的电子邮件经过验证
