| The power of noise: Redefining retrieval for rag systems F Cuconasu, G Trappolini, F Siciliano, S Filice, C Campagnano, Y Maarek, ... Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 367 | 2024 |
| Kelp at semeval-2016 task 3: Learning semantic relations between questions and answers S Filice, D Croce, A Moschitti, R Basili SemEval 2016-10th International Workshop on Semantic Evaluation, Proceedings …, 2016 | 105 | 2016 |
| Continual learning for named entity recognition N Monaikul, G Castellucci, S Filice, O Rokhlenko Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13570 …, 2021 | 100 | 2021 |
| Kelp: a kernel-based learning platform for natural language processing S Filice, G Castellucci, D Croce, R Basili Proceedings of ACL-IJCNLP 2015 System Demonstrations, 19-24, 2015 | 76 | 2015 |
| QCRI: Answer selection for community question answering-experiments for Arabic and English M Nicosia, S Filice, A Barrón-Cedeno, I Saleh, H Mubarak, W Gao, ... Proceedings of the 9th International Workshop on Semantic Evaluation …, 2015 | 73 | 2015 |
| Thread-level information for comment classification in community question answering A Barrón-Cedeno, S Filice, G Da San Martino, S Joty, L Màrquez, P Nakov, ... ACL-IJCNLP 2015-53rd Annual Meeting of the Association for Computational …, 2015 | 64 | 2015 |
| Unitor: Aspect based sentiment analysis with structured learning G Castellucci, S Filice, D Croce, R Basili Proceedings of the 8th international workshop on semantic evaluation …, 2014 | 61 | 2014 |
| Kelp at semeval-2017 task 3: Learning pairwise patterns in community question answering S Filice, G Da San Martino, A Moschitti Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 60 | 2017 |
| Structural representations for learning relations between pairs of texts S Filice, G Da San Martino, A Moschitti Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 59 | 2015 |
| Global thread-level inference for comment classification in community question answering S Joty, A Barrón-Cedeno, G Da San Martino, S Filice, L Màrquez, ... Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 56 | 2015 |
| Using phoneme representations to build predictive models robust to asr errors A Fang, S Filice, N Limsopatham, O Rokhlenko Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 34 | 2020 |
| Learning to solve NLP tasks in an incremental number of languages G Castellucci, S Filice, D Croce, R Basili Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 26 | 2021 |
| Deep learning in semantic kernel spaces D Croce, S Filice, G Castellucci, R Basili ACL 2017-55th Annual Meeting of the Association for Computational …, 2017 | 26 | 2017 |
| Kelp: a kernel-based learning platform S Filice, G Castellucci, G Da San Martino, A Moschitti, D Croce, R Basili Journal of Machine Learning Research 18 (191), 1-5, 2018 | 25 | 2018 |
| Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana S Filice, G Horowitz, D Carmel, Z Karnin, L Lewin-Eytan, Y Maarek arXiv preprint arXiv:2501.12789, 2025 | 22 | 2025 |
| Preventing catastrophic forgetting in continual learning of new natural language tasks S Kar, G Castellucci, S Filice, S Malmasi, O Rokhlenko Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 20 | 2022 |
| The distracting effect: Understanding irrelevant passages in rag C Amiraz, F Cuconasu, S Filice, Z Karnin arXiv preprint arXiv:2505.06914, 2025 | 15 | 2025 |
| Faithful low-resource data-to-text generation through cycle training Z Wang, M Collins, N Vedula, S Filice, S Malmasi, O Rokhlenko arXiv preprint arXiv:2305.14793, 2023 | 12 | 2023 |
| Ambiguity detection and uncertainty calibration for question answering with large language models Z Shi, G Castellucci, S Filice, S Kuzi, E Kravi, E Agichtein, O Rokhlenko, ... Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025), 41-55, 2025 | 10 | 2025 |
| Enhancing low-resource LLMs classification with PEFT and synthetic data P Patwa, S Filice, Z Chen, G Castellucci, O Rokhlenko, S Malmasi arXiv preprint arXiv:2404.02422, 2024 | 9 | 2024 |
Danilo CroceUniversity of Rome, Tor VergataVerified email at info.uniroma2.it
