| SeamlessM4T-Massively Multilingual & Multimodal Machine Translation L Barrault, YA Chung, MC Meglioli, D Dale, N Dong, PA Duquenne, ... arXiv preprint arXiv:2308.11596, 2023 | 107 | 2023 |
| Seamless: Multilingual Expressive and Streaming Speech Translation L Barrault, YA Chung, MC Meglioli, D Dale, N Dong, M Duppenthaler, ... arXiv preprint arXiv:2312.05187, 2023 | 104 | 2023 |
| Paradetox: Detoxification with parallel data V Logacheva, D Dementieva, S Ustyantsev, D Moskovskiy, D Dale, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 78 | 2022 |
| Text detoxification using large pre-trained neural models D Dale, A Voronov, D Dementieva, V Logacheva, O Kozlova, N Semenov, ... arXiv preprint arXiv:2109.08914, 2021 | 72 | 2021 |
| Detecting and mitigating hallucinations in machine translation: Model internal workings alone do well, sentence similarity Even better D Dale, E Voita, L Barrault, MR Costa-jussa Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 55 | 2023 |
| HalOmi: A manually annotated benchmark for multilingual hallucination and omission detection in machine translation D Dale, E Voita, J Lam, P Hansanti, C Ropers, E Kalbassi, C Gao, ... arXiv preprint arXiv:2305.11746, 2023 | 27 | 2023 |
| Methods for detoxification of texts for the russian language D Dementieva, D Moskovskiy, V Logacheva, D Dale, O Kozlova, ... Multimodal Technologies and Interaction 5 (9), 54, 2021 | 23 | 2021 |
| A large-scale computational study of content preservation measures for text style transfer and paraphrase generation N Babakov, D Dale, V Logacheva, A Panchenko Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 20 | 2022 |
| Don’t Lose the Message While Paraphrasing: A Study on Content Preserving Style Transfer N Babakov, D Dale, I Gusev, I Krotova, A Panchenko International Conference on Applications of Natural Language to Information …, 2023 | 18 | 2023 |
| RUSSE-2022: findings of the first Russian detoxification task based on parallel corpora D Dementieva, I Nikishina, V Logacheva, A Fenogenova, D Dale, ... Computational Linguistics and Intellectual Technologies, 2022 | 15 | 2022 |
| Exploring methods for cross-lingual text style transfer: The case of text detoxification D Dementieva, D Moskovskiy, D Dale, A Panchenko arXiv preprint arXiv:2311.13937, 2023 | 13 | 2023 |
| Микроэконометрика: методы и их применения. Книга 1 К Кэмерон, П Триведи Litres, 2018 | 12 | 2018 |
| Crowdsourcing of Parallel Corpora: the Case of Style Transfer for Detoxification. D Dementieva, S Ustyantsev, D Dale, O Kozlova, N Semenov, ... CSW@ VLDB, 35-49, 2021 | 11 | 2021 |
| A simple solution for the Taxonomy enrichment task: Discovering hypernyms using nearest neighbor search DS Dale Computational Linguistics and Intellectual Technologies: Proceedings of the …, 2020 | 11 | 2020 |
| Mutox: Universal multilingual audio-based toxicity dataset and zero-shot detector MR Costa-jussà, MC Meglioli, P Andrews, D Dale, P Hansanti, E Kalbassi, ... arXiv preprint arXiv:2401.05060, 2024 | 9 | 2024 |
| Estimation of nested and zero-inflated ordered probit models D Dale, A Sirchenko The Stata Journal 21 (1), 3-38, 2021 | 9 | 2021 |
| SkoltechNLP at SemEval-2021 Task 5: Leveraging Sentence-level Pre-training for Toxic Span Detection D Dale, I Markov, V Logacheva, O Kozlova, N Semenov, A Panchenko | 8 | 2021 |
| The first neural machine translation system for the Erzya language D Dale arXiv preprint arXiv:2209.09368, 2022 | 6 | 2022 |
| How to adapt a multilingual T5 model for a single language D Dale URL: https://towardsdatascience.com/how-to-adapt-a-multilingual-t5-model-for …, 2021 | 5* | 2021 |
| Added Toxicity Mitigation at Inference Time for Multimodal and Massively Multilingual Translation MR Costa-jussà, D Dale, M Elbayad, B Yu arXiv preprint arXiv:2311.06532, 2023 | 4 | 2023 |
Alexander PanchenkoAssociate Professor for NLP at Skoltech, AIRIAdresse e-mail validée de skol.tech