| SIGMORPHON 2020 shared task 0: Typologically diverse morphological inflection E Vylomova, J White, E Salesky, SJ Mielke, S Wu, E Ponti, RH Maudslay, ... SIGMORPHON, 2020 | 57 | 2020 |
| Intrinsic probing through dimension selection L Torroba Hennigen, A Williams, R Cotterell EMNLP, 2020 | 45* | 2020 |
| Learning to grow pretrained models for efficient transformer training P Wang, R Panda, L Torroba Hennigen, P Greengard, L Karlinsky, R Feris, ... ICLR, 2023 | 26 | 2023 |
| Same neurons, different languages: Probing morphosyntax in multilingual pre-trained models K Stańczak, E Ponti, L Torroba Hennigen, R Cotterell, I Augenstein NAACL, 2022 | 20 | 2022 |
| Probing as quantifying inductive bias A Immer, L Torroba Hennigen, V Fortuin, R Cotterell ACL, 2022 | 18* | 2022 |
| UniMorph 4.0: Universal morphology K Batsuren, O Goldman, S Khalifa, N Habash, W Kieraś, G Bella, ... LREC, 2022 | 16 | 2022 |
| A measure-theoretic characterization of tight language models L Du, L Torroba Hennigen, T Pimentel, C Meister, J Eisner, R Cotterell ACL, 2022 | 14 | 2022 |
| An ordinal latent variable model of conflict intensity N Stoehr, L Torroba Hennigen, J Valvoda, R West, R Cotterell, A Schein ACL, 2023 | 7 | 2023 |
| Classifying dyads for militarized conflict analysis N Stoehr, L Torroba Hennigen, S Ahbab, R West, R Cotterell EMNLP, 2021 | 7 | 2021 |
| Machine reading of historical events O Honovich, L Torroba Hennigen, O Abend, SB Cohen ACL, 2020 | 7 | 2020 |
| Deriving language models from masked language models L Torroba Hennigen, Y Kim ACL, 2023 | 5* | 2023 |
| A latent-variable model for intrinsic probing K Stańczak, L Torroba Hennigen, A Williams, R Cotterell, I Augenstein AAAI, 2022 | 3 | 2022 |
| Towards verifiable text generation with symbolic references L Torroba Hennigen, S Shen, A Nrusimha, B Gapp, D Sontag, Y Kim arXiv preprint arXiv:2311.09188, 2023 | 1 | 2023 |
| Generalizing backpropagation for gradient-based interpretability K Du, L Torroba Hennigen, N Stoehr, A Warstadt, R Cotterell ACL, 2023 | 1 | 2023 |
| Principled gradient-based Markov chain Monte Carlo for text generation L Du, A Amini, L Torroba Hennigen, XV Yu, J Eisner, H Lee, R Cotterell arXiv preprint arXiv:2312.17710, 2023 | | 2023 |
Ryan CotterellETH ZürichVerified email at inf.ethz.ch
