Humor Detection: A Transformer Gets the Last Laugh O Weller, K Seppi EMNLP 2019, 2019 | 113 | 2019 |
Learning from task descriptions O Weller, N Lourie, M Gardner, ME Peters EMNLP 2020, 2020 | 74 | 2020 |
Pretrained models for multilingual federated learning O Weller, M Marone, V Braverman, D Lawrie, B Van Durme arXiv preprint arXiv:2206.02291, 2022 | 25 | 2022 |
The rjokes dataset: a large scale humor collection O Weller, K Seppi LREC 2020, 2020 | 19 | 2020 |
When to use multi-task learning vs intermediate fine-tuning for pre-trained encoder transfer learning O Weller, K Seppi, M Gardner arXiv preprint arXiv:2205.08124, 2022 | 18 | 2022 |
End-to-end speech translation for code switched speech O Weller, M Sperber, T Pires, H Setiawan, C Gollan, D Telaar, M Paulik arXiv preprint arXiv:2204.05076, 2022 | 18 | 2022 |
Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style Transfer O Weller, N Fulda, K Seppi FigLang@ACL 2020, 2020 | 18 | 2020 |
" According to..." Prompting Language Models Improves Quoting from Pre-Training Data O Weller, M Marone, N Weir, D Lawrie, D Khashabi, B Van Durme arXiv preprint arXiv:2305.13252, 2023 | 17* | 2023 |
Predicting suicidal thoughts and behavior among adolescents using the risk and protective factor framework: A large-scale machine learning approach O Weller, L Sagers, C Hanson, M Barnes, Q Snell, ES Tass Plos one 16 (11), e0258535, 2021 | 11 | 2021 |
Streaming models for joint speech recognition and translation O Weller, M Sperber, C Gollan, J Kluivers EACL 2021, 2021 | 11 | 2021 |
When do generative query and document expansions fail? a comprehensive study across methods, retrievers, and datasets O Weller, K Lo, D Wadden, D Lawrie, B Van Durme, A Cohan, L Soldaini arXiv preprint arXiv:2309.08541, 2023 | 6 | 2023 |
Defending Against Disinformation Attacks in Open-Domain Question Answering O Weller, A Khan, N Weir, D Lawrie, B Van Durme EACL 2024, 2024 | 5* | 2024 |
Nevir: Negation in neural information retrieval O Weller, D Lawrie, B Van Durme arXiv preprint arXiv:2305.07614, 2023 | 5 | 2023 |
You Don’t Have Time to Read This: An Exploration of Document Reading Time Prediction O Weller, J Hildebrandt, I Reznik, C Challis, ES Tass, Q Snell, K Seppi ACL 2020, 2020 | 5 | 2020 |
Synthetic Cross-language Information Retrieval Training Data J Mayfield, E Yang, D Lawrie, S Barham, O Weller, M Mason, S Nair, ... arXiv preprint arXiv:2305.00331, 2023 | 3 | 2023 |
Dated Data: Tracing Knowledge Cutoffs in Large Language Models J Cheng, M Marone, O Weller, D Lawrie, D Khashabi, B Van Durme arXiv preprint arXiv:2403.12958, 2024 | 2 | 2024 |
Megawika: Millions of reports and their sources across 50 diverse languages S Barham, O Weller, M Yuan, K Murray, M Yarmohammadi, Z Jiang, ... arXiv preprint arXiv:2307.07049, 2023 | 2 | 2023 |
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions O Weller, B Chang, S MacAvaney, K Lo, A Cohan, B Van Durme, ... arXiv preprint arXiv:2403.15246, 2024 | 1 | 2024 |
Enhancing systematic decompositional natural language inference using informal logic N Weir, K Sanders, O Weller, S Sharma, D Jiang, Z Zhang, BD Mishra, ... arXiv preprint arXiv:2402.14798, 2024 | 1 | 2024 |
When Do Decompositions Help for Machine Reading? K Wei, D Lawrie, B Van Durme, Y Chen, O Weller arXiv preprint arXiv:2212.10019, 2022 | 1 | 2022 |