| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 999 | 2022 |
| Sequence-to-sequence learning as beam-search optimization S Wiseman, AM Rush EMNLP 2016, 2016 | 661 | 2016 |
| Challenges in data-to-document generation S Wiseman, SM Shieber, AM Rush EMNLP 2017, 2017 | 658 | 2017 |
| Semi-amortized variational autoencoders Y Kim, S Wiseman, AC Miller, D Sontag, AM Rush ICML 2018, 2018 | 287 | 2018 |
| Learning global features for coreference resolution S Wiseman, AM Rush, SM Shieber NAACL 2016, 2016 | 265 | 2016 |
| Learning neural templates for text generation S Wiseman, SM Shieber, AM Rush EMNLP 2018, 2018 | 234 | 2018 |
| Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution S Wiseman, AM Rush, SM Shieber, J Weston Proceedings of the 53rd Annual Meeting of the Association for Computational
, 2015 | 223 | 2015 |
| Controllable Paraphrase Generation with a Syntactic Exemplar M Chen, Q Tang, S Wiseman, K Gimpel ACL 2019, 2019 | 129 | 2019 |
| Summscreen: A dataset for abstractive screenplay summarization M Chen, Z Chu, S Wiseman, K Gimpel arXiv preprint arXiv:2104.07091, 2021 | 107 | 2021 |
| Mm1: Methods, analysis & insights from multimodal llm pre-training B McKinzie, Z Gan, JP Fauconnier, S Dodge, B Zhang, P Dufter, D Shah, ... arXiv preprint arXiv:2403.09611, 2024 | 87 | 2024 |
| A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations M Chen, Q Tang, S Wiseman, K Gimpel NAACL 2019, 2019 | 85 | 2019 |
| Label-Agnostic Sequence Labeling by Copying Nearest Neighbors S Wiseman, K Stratos ACL 2019, 2019 | 62 | 2019 |
| ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation L Tu, RY Pang, S Wiseman, K Gimpel ACL 2020, 2020 | 55 | 2020 |
| Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks S Toshniwal, S Wiseman, A Ettinger, K Livescu, K Gimpel EMNLP 2020, 2020 | 54 | 2020 |
| A tutorial on deep latent variable models of natural language Y Kim, S Wiseman, AM Rush arXiv preprint arXiv:1812.06834, 2018 | 48 | 2018 |
| On Generalization in Coreference Resolution S Toshniwal, P Xia, S Wiseman, K Livescu, K Gimpel CRAC@EMNLP 2021, 2021 | 40 | 2021 |
| Chess as a Testbed for Language Model State Tracking S Toshniwal, S Wiseman, K Livescu, K Gimpel AAAI 2022, 2022 | 33* | 2022 |
| WikiTableT: A large-scale data-to-text dataset for generating Wikipedia article sections M Chen, S Wiseman, K Gimpel Findings of ACL 2021, 2021 | 26 | 2021 |
| Discrete Latent Variable Representations for Low-Resource Text Classification S Jin, S Wiseman, K Stratos, K Livescu ACL 2020, 2020 | 21 | 2020 |
| Entity tracking improves cloze-style reading comprehension L Hoang, S Wiseman, AM Rush EMNLP 2018, 2018 | 19 | 2018 |
Alexander M. RushAssociate Professor, Cornell UniversityPatvirtintas el. paštas cornell.edu
