| A primer in BERTology: What we know about how BERT works A Rogers, O Kovaleva, A Rumshisky Transactions of the Association for Computational Linguistics 8, 842-866, 2021 | 1891 | 2021 |
| Revealing the dark secrets of BERT O Kovaleva, A Romanov, A Rogers, A Rumshisky Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 735 | 2019 |
| Evaluating temporal relations in clinical text: 2012 i2b2 challenge W Sun, A Rumshisky, O Uzuner Journal of the American Medical Informatics Association, amiajnl-2013-001628, 2013 | 581 | 2013 |
| Unfolding Physiological State: Mortality Modelling in Intensive Care Units M Ghassemi, T Naumann, F Doshi-Velez, N Brimmer, R Joshi, ... | 303* | |
| Automating temporal annotation with TARSQI M Verhagen, I Mani, R Sauri, R Knippen, SB Jang, J Littman, ... Proceedings of the ACL 2005 on Interactive poster and demonstration sessions …, 2005 | 224 | 2005 |
| Predicting early psychiatric readmission with natural language processing of narrative discharge summaries A Rumshisky, M Ghassemi, T Naumann, P Szolovits, VM Castro, ... Translational Psychiatry 6 (10), e921, 2016 | 214 | 2016 |
| Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning V Lialin, V Deshpande, A Rumshisky arXiv preprint arXiv:2303.15647, 2023 | 210 | 2023 |
| When BERT plays the lottery, all tickets are winning S Prasanna, A Rogers, A Rumshisky Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 203 | 2020 |
| GhostWriter: Using an LSTM for Automatic Rap Lyric Generation. P Potash, A Romanov, A Rumshisky EMNLP, 1919-1924, 2015 | 165 | 2015 |
| RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian A Rogers, A Romanov, A Rumshisky, S Volkova, M Gronas, A Gribov Proceedings of the 27th International Conference on Computational …, 2018 | 142 | 2018 |
| Annotating temporal information in clinical narratives W Sun, A Rumshisky, O Uzuner Journal of biomedical informatics 46, S5-S12, 2013 | 120 | 2013 |
| ReLoRA: High-Rank Training Through Low-Rank Updates V Lialin, S Muckatira, N Shivagunde, A Rumshisky Twelfth International Conference on Learning Representations (ICLR 2024), 2024 | 117* | 2024 |
| Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks A Rogers, O Kovaleva, M Downey, A Rumshisky | 113 | 2020 |
| Here's My Point: Argumentation Mining with Pointer Networks P Potash, A Romanov, A Rumshisky arXiv preprint arXiv:1612.08994, 2016 | 104* | 2016 |
| Classification of discourse coherence relations: An exploratory study using multiple knowledge sources B Wellner, J Pustejovsky, C Havasi, A Rumshisky, R Sauri Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue, 117-125, 2009 | 101 | 2009 |
| BERT Busters: Outlier Dimensions that Disrupt Transformers O Kovaleva, S Kulshreshtha, A Rogers, A Rumshisky Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 | 96 | 2021 |
| Towards a generative lexical resource: The brandeis semantic ontology J Pustejovsky, C Havasi, J Littman, A Rumshisky, M Verhagen Proceedings of the Fifth Language Resource and Evaluation Conference 7, 2006 | 93 | 2006 |
| What's in a Name? Reducing Bias in Bios without Access to Protected Attributes A Romanov, M De-Arteaga, H Wallach, J Chayes, C Borgs, ... Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 92 | 2019 |
| SemEval-2017 Task 6:# HashtagWars: Learning a sense of humor P Potash, A Romanov, A Rumshisky Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 91 | 2017 |
| AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model S Soltan, S Ananthakrishnan, J FitzGerald, R Gupta, W Hamza, H Khan, ... arXiv preprint arXiv:2208.01448, 2022 | 89 | 2022 |
Anna RogersIT University of CopenhagenVerified email at itu.dk
