| ChatGPT for good? On opportunities and challenges of large language models for education E Kasneci, K Seßler, S Küchemann, M Bannert, D Dementieva, F Fischer, ... Learning and Individual Differences 103, 102274, 2023 | 1568 | 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 | 36 | 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 | 36 | 2021 |
| 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 | 15 | 2021 |
| Cross-lingual Evidence Improves Monolingual Fake News Detection D Dementieva, A Panchenko Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 12 | 2021 |
| Fake News Detection using Multilingual Evidence D Dementieva, A Panchenko 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 11 | 2020 |
| Crowdsourcing of Parallel Corpora: the Case of Style Transfer for Detoxification D Dementieva, S Ustyantsev, D Dale, O Kozlova, N Semenov, ... Proceedings of the 2nd Crowd Science Workshop: Trust, Ethics, and Excellence …, 2021 | 8 | 2021 |
| Adam-Smith at SemEval-2023 Task 4: Discovering Human Values in Arguments with Ensembles of Transformer-based Models D Schroter, D Dementieva, G Groh arXiv preprint arXiv:2305.08625, 2023 | 5 | 2023 |
| Exploring Cross-lingual Text Detoxification with Large Multilingual Language Models. D Moskovskiy, D Dementieva, A Panchenko Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 5 | 2022 |
| A Study on Manual and Automatic Evaluation for Text Style Transfer: The Case of Detoxification V Logacheva*, D Dementieva*, I Krotova, A Fenogenova, I Nikishina, ... Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval …, 2022 | 4 | 2022 |
| Multiverse: Multilingual Evidence for Fake News Detection D Dementieva, M Kuimov, A Panchenko Journal of Imaging 9 (4), 77, 2023 | 2 | 2023 |
| IFAN: An Explainability-Focused Interaction Framework for Humans and NLP Models E Mosca, D Dementieva, TE Ajdari, M Kummeth, K Gringauz, Y Zhou, ... arXiv preprint arXiv:2303.03124, 2023 | 2 | 2023 |
| Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification D Dementieva, D Moskovskiy, D Dale, A Panchenko | 2 | 2023 |
| SkoltechNLP at SemEval-2020 Task 11: Exploring unsupervised text augmentation for propaganda detection D Dementieva, I Markov, A Panchenko Proceedings of the Fourteenth Workshop on Semantic Evaluation, 1786-1792, 2020 | 2 | 2020 |
| Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification J Bevendorff, XB Casals, B Chulvi, D Dementieva, A Elnagar, D Freitag, ... European Conference on Information Retrieval, 3-10, 2024 | 1 | 2024 |
| A Benchmark Dataset to Distinguish Human-Written and Machine-Generated Scientific Papers MHI Abdalla, S Malberg, D Dementieva, E Mosca, G Groh Information 14 (10), 522, 2023 | 1 | 2023 |
| Detecting Text Formality: A Study of Text Classification Approaches D Dementieva, N Babakov, A Panchenko arXiv preprint arXiv:2204.08975, 2023 | 1 | 2023 |
| AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble Learning A Rydelek, D Dementieva, G Groh arXiv preprint arXiv:2305.08636, 2023 | 1 | 2023 |
| Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models D Moskovskiy, D Dementieva, A Panchenko arXiv preprint arXiv:2206.02252, 2022 | 1 | 2022 |
| MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages D Dementieva, N Babakov, A Panchenko arXiv preprint arXiv:2404.02037, 2024 | | 2024 |
Georg GrohAdjunct ProfessorVerified email at in.tum.de
