| Direct preference optimization with an offset A Amini, T Vieira, R Cotterell arXiv preprint arXiv:2402.10571, 2024 | 20 | 2024 |
| Naturalistic causal probing for morpho-syntax A Amini, T Pimentel, C Meister, R Cotterell Transactions of the Association for Computational Linguistics, 2022 | 18 | 2022 |
| Assessing large language models on climate information J Bulian, MS Schäfer, A Amini, H Lam, M Ciaramita, B Gaiarin, ... arXiv preprint arXiv:2310.02932, 2023 | 10 | 2023 |
| Conditional Poisson stochastic beams CI Meister, A Amini, T Vieira, R Cotterell Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 10 | 2021 |
| A hybrid deep model for automatic arrhythmia classification based on LSTM recurrent networks A Bitarafan, A Amini, MS Baghshah, H Khodajou-Chokami 2020 IEEE International Symposium on Medical Measurements and Applications …, 2020 | 9 | 2020 |
| Structured Voronoi Sampling A Amini, L Du, R Cotterell proceedings of the 36st international conference on neural information …, 2023 | 5 | 2023 |
| Generating text from language models A Amini, R Cotterell, J Hewitt, L Malagutti, C Meister, T Pimentel Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 3 | 2023 |
| On Parsing as Tagging A Amini, R Cotterell Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 3 | 2022 |
| Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals R Chan, A Amini, M El-Assady Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 2 | 2023 |
| Hexatagging: Projective Dependency Parsing as Tagging A Amini, T Liu, R Cotterell Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 2 | 2023 |
| AI and climate information needs in africa A Amini, C Buck, H Brown, J Bulian, MC Huebscher, M Ciaramita, S Das, ... Deep Learning Indaba 2023, 2023 | 2 | 2023 |
| Variational Best-of-N Alignment A Amini, T Vieira, R Cotterell arXiv preprint arXiv:2407.06057, 2024 | 1 | 2024 |
| The Role of -gram Smoothing in the Age of Neural Networks L Malagutti, A Buinovskij, A Svete, C Meister, A Amini, R Cotterell arXiv preprint arXiv:2403.17240, 2024 | 1 | 2024 |
| Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective T Liu, A Amini, M Sachan, R Cotterell Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 1 | 2023 |
| Probing in Context: Toward Building Robust Classifiers via Probing Large Language Models. A Amini, M Ciaramita CoRR, abs/2305.14171, 2023 | 1 | 2023 |
| Principled Gradient-based Markov Chain Monte Carlo for Text Generation L Du, A Amini, LT Hennigen, XV Yu, J Eisner, H Lee, R Cotterell arXiv preprint arXiv:2312.17710, 2023 | | 2023 |
| In-Context Probing: Toward Building Robust Classifiers via Probing Large Language Models A Amini, M Ciaramita arXiv preprint arXiv:2305.14171, 2023 | | 2023 |
| Principled Gradient-Based MCMC for Conditional Sampling of Text L Du, A Amini, LT Hennigen, H Lee, J Eisner, R Cotterell Forty-first International Conference on Machine Learning, 0 | | |
Ryan CotterellETH ZürichVerified email at inf.ethz.ch
