| Universal Decompositional Semantics on Universal Dependencies AS White, D Reisinger, K Sakaguchi, T Vieira, S Zhang, R Rudinger, ... Empirical Methods in Natural Language Processing, 2016 | 208 | 2016 |
| Reasoning about quantities in natural language S Roy, T Vieira, D Roth Transactions of the Association for Computational Linguistics 3, 1-13, 2015 | 208 | 2015 |
| If beam search is the answer, what was the question? C Meister, R Cotterell, T Vieira Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 205 | 2020 |
| Best-first beam search C Meister, T Vieira, R Cotterell Transactions of the Association for Computational Linguistics 8, 795-809, 2020 | 125 | 2020 |
| Direct preference optimization with an offset A Amini, T Vieira, R Cotterell arXiv preprint arXiv:2402.10571, 2024 | 116 | 2024 |
| A Joint Model of Orthography and Morphological Segmentation R Cotterell, T Vieira, H Schütze NAACL, 2016 | 66 | 2016 |
| A formal perspective on byte-pair encoding V Zouhar, C Meister, J Gastaldi, L Du, T Vieira, M Sachan, R Cotterell Findings of the Association for Computational Linguistics: ACL 2023, 598-614, 2023 | 64 | 2023 |
| Relation Alignment for Textual Entailment Recognition. M Sammons, VGV Vydiswaran, T Vieira, N Johri, MW Chang, ... TAC, 2009 | 55 | 2009 |
| Variational Best-of-N Alignment A Amini, T Vieira, E Ash, R Cotterell arXiv preprint arXiv:2407.06057, 2024 | 49 | 2024 |
| The universal decompositional semantics dataset and decomp toolkit AS White, E Stengel-Eskin, S Vashishtha, VS Govindarajan, DA Reisinger, ... Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 38 | 2020 |
| Gumbel-max trick and weighted reservoir sampling, 2014 T Vieira https://timvieira.github.io/blog/post/2014/08/01/gumbel-max-trick-and …, 2014 | 36* | 2014 |
| Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo J Loula, B LeBrun, L Du, B Lipkin, C Pasti, G Grand, T Liu, Y Emara, ... arXiv preprint arXiv:2504.13139, 2025 | 31 | 2025 |
| Learning to prune: Exploring the frontier of fast and accurate parsing T Vieira, J Eisner Transactions of the Association for Computational Linguistics 5, 263-278, 2017 | 27 | 2017 |
| Conditional Poisson stochastic beams C Meister, A Amini, T Vieira, R Cotterell Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 22* | 2021 |
| On the proper treatment of tokenization in psycholinguistics M Giulianelli, L Malagutti, JL Gastaldi, B DuSell, T Vieira, R Cotterell arXiv preprint arXiv:2410.02691, 2024 | 18 | 2024 |
| Dyna: Toward a self-optimizing declarative language for machine learning applications T Vieira, M Francis-Landau, NW Filardo, F Khorasani, J Eisner Proceedings of the 1st ACM SIGPLAN International Workshop on Machine …, 2017 | 16 | 2017 |
| The foundations of tokenization: Statistical and computational concerns JL Gastaldi, J Terilla, L Malagutti, B DuSell, T Vieira, R Cotterell arXiv preprint arXiv:2407.11606, 2024 | 13 | 2024 |
| Efficient computation of expectations under spanning tree distributions R Zmigrod, T Vieira, R Cotterell Transactions of the Association for Computational Linguistics 9, 675-690, 2021 | 13 | 2021 |
| Please mind the root: Decoding arborescences for dependency parsing R Zmigrod, T Vieira, R Cotterell arXiv preprint arXiv:2010.02550, 2020 | 12 | 2020 |
| Estimating means in a finite universe, 2017 T Vieira URL https://timvieira. github. io/blog/post/2017/07/03/estimating-means-in-a …, 2017 | 12* | 2017 |
Ryan CotterellETH ZürichVerified email at inf.ethz.ch
