Revisiting mahalanobis distance for transformer-based out-of-domain detection A Podolskiy, D Lipin, A Bout, E Artemova, I Piontkovskaya Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13675 …, 2021 | 62 | 2021 |
Pangu-{\Sigma}: Towards trillion parameter language model with sparse heterogeneous computing X Ren, P Zhou, X Meng, X Huang, Y Wang, W Wang, P Li, X Zhang, ... arXiv preprint arXiv:2303.10845, 2023 | 37 | 2023 |
Artificial text detection via examining the topology of attention maps L Kushnareva, D Cherniavskii, V Mikhailov, E Artemova, S Barannikov, ... arXiv preprint arXiv:2109.04825, 2021 | 37 | 2021 |
Intrinsic dimension estimation for robust detection of ai-generated texts E Tulchinskii, K Kuznetsov, L Kushnareva, D Cherniavskii, S Nikolenko, ... Advances in Neural Information Processing Systems 36, 2024 | 21 | 2024 |
Distributed fine-tuning of language models on private data V Popov, M Kudinov, I Piontkovskaya, P Vytovtov, A Nevidomsky International Conference on Learning Representations, 2018 | 17 | 2018 |
Acceptability judgements via examining the topology of attention maps D Cherniavskii, E Tulchinskii, V Mikhailov, I Proskurina, L Kushnareva, ... arXiv preprint arXiv:2205.09630, 2022 | 12 | 2022 |
Ask me anything in your native language N Sorokin, D Abulkhanov, I Piontkovskaya, V Malykh Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 8 | 2022 |
Binary autoencoder for text modeling R Baynazarov, I Piontkovskaya Artificial Intelligence and Natural Language: 8th Conference, AINL 2019 …, 2019 | 6 | 2019 |
SumTitles: a summarization dataset with low extractiveness V Malykh, K Chernis, E Artemova, I Piontkovskaya Proceedings of the 28th International Conference on Computational …, 2020 | 5 | 2020 |
Template-based approach to zero-shot intent recognition D Lamanov, P Burnyshev, E Artemova, V Malykh, A Bout, I Piontkovskaya arXiv preprint arXiv:2206.10914, 2022 | 4 | 2022 |
A single example can improve zero-shot data generation P Burnyshev, V Malykh, A Bout, E Artemova, I Piontkovskaya arXiv preprint arXiv:2108.06991, 2021 | 4 | 2021 |
Differentially private distributed learning for language modeling tasks V Popov, M Kudinov, I Piontkovskaya, P Vytovtov, A Nevidomsky arXiv preprint arXiv:1712.07473, 2017 | 3 | 2017 |
GEC-DePenD: Non-autoregressive grammatical error correction with decoupled permutation and decoding K Yakovlev, A Podolskiy, A Bout, S Nikolenko, I Piontkovskaya arXiv preprint arXiv:2311.08191, 2023 | 2 | 2023 |
Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval K Yakovlev, G Polyakov, I Alimova, A Podolskiy, A Bout, S Nikolenko, ... Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 2 | 2023 |
Multiple teacher distillation for robust and greener models A Ilichev, N Sorokin, I Piontkovskaya, V Malykh Proceedings of the International Conference on Recent Advances in Natural …, 2021 | 2 | 2021 |
InFoBERT: Zero-shot approach to natural language understanding using contextualized word embedding P Burnyshev, A Bout, V Malykh, I Piontkovskaya Proceedings of the International Conference on Recent Advances in Natural …, 2021 | 2 | 2021 |
Topological data analysis for speech processing E Tulchinskii, K Kuznetsov, L Kushnareva, D Cherniavskii, S Barannikov, ... arXiv preprint arXiv:2211.17223, 2022 | 1 | 2022 |
Betti numbers of attention graphs is all you really need L Kushnareva, D Piontkovski, I Piontkovskaya arXiv preprint arXiv:2207.01903, 2022 | 1 | 2022 |
Distributed training of machine learning models for personalization MS Kudinov, I Piontkovskaya, AY Nevidomskii, VS Popov, PK Vytovtov, ... US Patent App. 17/413,897, 2022 | 1 | 2022 |
Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule A Bout, A Podolskiy, S Nikolenko, I Piontkovskaya arXiv preprint arXiv:2311.11813, 2023 | | 2023 |