| FEVER: a large-scale dataset for fact extraction and verification J Thorne, A Vlachos, C Christodoulopoulos, A Mittal Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 1540 | 2018 |
| KILT: a benchmark for knowledge intensive language tasks F Petroni, A Piktus, A Fan, P Lewis, M Yazdani, N De Cao, J Thorne, ... arXiv preprint arXiv:2009.02252, 2020 | 462 | 2020 |
| Automated fact checking: Task formulations, methods and future directions J Thorne, A Vlachos Proceedings of the 27th International Conference on Computational …, 2018 | 344 | 2018 |
| The Fact Extraction and VERification (FEVER) Shared Task J Thorne, A Vlachos, O Cocarascu, C Christodoulopoulos, A Mittal Proceedings of the First Workshop on Fact Extraction and VERification (FEVER …, 2018 | 234 | 2018 |
| Feverous: Fact extraction and verification over unstructured and structured information R Aly, Z Guo, M Schlichtkrull, J Thorne, A Vlachos, C Christodoulopoulos, ... Proceedings of the Neural Information Processing Systems Track on Datasets …, 2021 | 145 | 2021 |
| The FEVER2.0 Shared Task J Thorne, A Vlachos, O Cocarascu, C Christodoulopoulos, A Mittal Proceedings of the Second Workshop on Fact Extraction and VERification …, 2019 | 114 | 2019 |
| Bridging the Gaps: Multi Task Learning for Domain Transfer of Hate Speech Detection Z Waseem, J Thorne, J Bingel Online Harassment, 29-55, 2018 | 111 | 2018 |
| Fake news stance detection using stacked ensemble of classifiers J Thorne, M Chen, G Myrianthous, J Pu, X Wang, A Vlachos Proceedings of the 2017 EMNLP workshop: natural language processing meets …, 2017 | 103 | 2017 |
| Prometheus: Inducing fine-grained evaluation capability in language models S Kim, J Shin, Y Cho, J Jang, S Longpre, H Lee, S Yun, S Shin, S Kim, ... The Twelfth International Conference on Learning Representations, 2023 | 77 | 2023 |
| The fact extraction and VERification over unstructured and structured information (FEVEROUS) shared task R Aly, Z Guo, MS Schlichtkrull, J Thorne, A Vlachos, ... Proceedings of the Fourth Workshop on Fact Extraction and VERification …, 2021 | 64 | 2021 |
| Generating Token-Level Explanations for Natural Language Inference J Thorne, A Vlachos, C Christodoulopoulos, A Mittal Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 56 | 2019 |
| Evidence-based Factual Error Correction J Thorne, A Vlachos Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 54 | 2021 |
| From natural language processing to neural databases J Thorne, M Yazdani, M Saeidi, F Silvestri, S Riedel, A Halevy Proceedings of the VLDB Endowment 14 (6), 1033-1039, 2021 | 53 | 2021 |
| Flask: Fine-grained language model evaluation based on alignment skill sets S Ye, D Kim, S Kim, H Hwang, S Kim, Y Jo, J Thorne, J Kim, M Seo arXiv preprint arXiv:2307.10928, 2023 | 50 | 2023 |
| An extensible framework for verification of numerical claims J Thorne, A Vlachos Proceedings of the Software Demonstrations of the 15th Conference of the …, 2017 | 46 | 2017 |
| Evaluating adversarial attacks against multiple fact verification systems J Thorne, A Vlachos, C Christodoulopoulos, A Mittal Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 42 | 2019 |
| Orpo: Monolithic preference optimization without reference model J Hong, N Lee, J Thorne arXiv preprint arXiv:2403.07691 2 (4), 5, 2024 | 41 | 2024 |
| Reference-free monolithic preference optimization with odds ratio J Hong, N Lee, J Thorne arXiv preprint arXiv:2403.07691, 2024 | 39 | 2024 |
| Database reasoning over text J Thorne, M Yazdani, M Saeidi, F Silvestri, S Riedel, A Halevy Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 36 | 2021 |
| Adversarial attacks against fact extraction and verification J Thorne, A Vlachos arXiv preprint arXiv:1903.05543, 2019 | 33 | 2019 |
Andreas VlachosProfessor, University of CambridgeVerified email at cam.ac.uk
