| Takelab at semeval-2016 task 6: Stance classification in tweets using a genetic algorithm based ensemble M Tutek, I Sekulić, P Gombar, I Paljak, F Čulinović, F Boltužić, M Karan, ... Proceedings of the 10th international workshop on semantic evaluation …, 2016 | 61 | 2016 |
| Staying true to your word:(how) can attention become explanation? M Tutek, J Šnajder arXiv preprint arXiv:2005.09379, 2020 | 44 | 2020 |
| Toward practical usage of the attention mechanism as a tool for interpretability M Tutek, J Šnajder IEEE access 10, 47011-47030, 2022 | 17 | 2022 |
| Takelab at semeval-2017 task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news L Rotim, M Tutek, J Šnajder Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 13 | 2017 |
| Iterative recursive attention model for interpretable sequence classification M Tutek, J Šnajder arXiv preprint arXiv:1808.10503, 2018 | 10 | 2018 |
| Catfood: Counterfactual augmented training for improving out-of-domain performance and calibration R Sachdeva, M Tutek, I Gurevych arXiv preprint arXiv:2309.07822, 2023 | 9 | 2023 |
| Predicting news values from headline text and emotions MP Di Buono, J Šnajder, BD Bašić, G Glavaš, M Tutek, N Milić-Frayling Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets …, 2017 | 8 | 2017 |
| Code Prompting Elicits Conditional Reasoning Abilities in Text+ Code LLMs H Puerto, M Tutek, S Aditya, X Zhu, I Gurevych arXiv preprint arXiv:2401.10065, 2024 | 7 | 2024 |
| Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness F Jelenić, J Jukić, M Tutek, M Puljiz, J Šnajder arXiv preprint arXiv:2310.02832, 2023 | 5 | 2023 |
| Two layers of annotation for representing event mentions in news stories MP Di Buono, M Tutek, J Šnajder, G Glavaš, BD Bašić, N Milić-Frayling Proceedings of the 11th Linguistic Annotation Workshop, 82-90, 2017 | 2 | 2017 |
| Detecting and ranking conceptual links between texts using a knowledge base M Tutek, G Glavas, J Šnajder, N Milić-Frayling, B Dalbelo Basic Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 2 | 2016 |
| REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space T Ashuach, M Tutek, Y Belinkov arXiv preprint arXiv:2406.09325, 2024 | 1 | 2024 |
| Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods J Jukić, M Tutek, J Šnajder arXiv preprint arXiv:2211.08369, 2022 | | 2022 |
| Extending the recurrent neural network model for improved compositional modelling of text sequences M Tutek University of Zagreb. Faculty of Electrical Engineering and Computing …, 2022 | | 2022 |
| NLPOP: a Dataset for Popularity Prediction of Promoted NLP Research on Twitter L Obadić, M Tutek, J Šnajder Proceedings of the 12th Workshop on Computational Approaches to Subjectivity …, 2022 | | 2022 |
Jan SnajderProf of Computer Science at Uni Zagreb, FER, Croatiafer.unizg.hr의 이메일 확인됨