| How can we know what language models know? Z Jiang, FF Xu, J Araki, G Neubig Transactions of the Association for Computational Linguistics 8, 423-438, 2020 | 1215 | 2020 |
| How can we know when language models know? On the calibration of language models for question answering Z Jiang, J Araki, H Ding, G Neubig Transactions of the Association for Computational Linguistics 9, 962-977, 2021 | 276 | 2021 |
| X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models Z Jiang, A Anastasopoulos, J Araki, H Ding, G Neubig Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 117 | 2020 |
| Events are not simple: Identity, non-identity, and quasi-identity E Hovy, T Mitamura, F Verdejo, J Araki, A Philpot Workshop on events: Definition, detection, coreference, and representation …, 2013 | 89 | 2013 |
| Supervised Within-Document Event Coreference using Information Propagation Z Liu, J Araki, EH Hovy, T Mitamura LREC, 4539-4544, 2014 | 88 | 2014 |
| Generating Questions and Multiple-Choice Answers using Semantic Analysis of Texts J Araki, D Rajagopal, S Sankaranarayanan, S Holm, Y Yamakawa, ... COLING 2016, 1125-1136, 2016 | 82 | 2016 |
| Detecting Subevent Structure for Event Coreference Resolution J Araki, Z Liu, EH Hovy, T Mitamura LREC, 4553-4558, 2014 | 62 | 2014 |
| Generalizing Natural Language Analysis through Span-relation Representations Z Jiang, W Xu, J Araki, G Neubig Association for Computational Linguistics (ACL), 2120--2133, 2020 | 57 | 2020 |
| Joint Event Trigger Identification and Event Coreference Resolution with Structured Perceptron J Araki, T Mitamura Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 57 | 2015 |
| Open-domain event detection using distant supervision J Araki, T Mitamura Proceedings of the 27th international conference on computational …, 2018 | 45 | 2018 |
| Learning to filter context for retrieval-augmented generation Z Wang, J Araki, Z Jiang, MR Parvez, G Neubig arXiv preprint arXiv:2311.08377, 2023 | 38 | 2023 |
| Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer Z Jiang, L Gao, J Araki, H Ding, Z Wang, J Callan, G Neubig Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 27 | 2022 |
| DelucionQA: Detecting hallucinations in domain-specific question answering M Sadat, Z Zhou, L Lange, J Araki, A Gundroo, B Wang, RR Menon, ... Findings of the Association for Computational Linguistics: EMNLP 2023, 822-835, 2023 | 21 | 2023 |
| Explicitly capturing relations between entity mentions via graph neural networks for domain-specific named entity recognition P Chen, H Ding, J Araki, R Huang Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 17 | 2021 |
| An NLP-based reading tool for aiding non-native English readers M Azab, A Salama, K Oflazer, H Shima, J Araki, T Mitamura Proceedings of the International Conference Recent Advances in Natural …, 2013 | 15 | 2013 |
| Cmu multiple-choice question answering system at ntcir-11 qa-lab D Wang, L Boytsov, J Araki, A Patel, J Gee, Z Liu, E Nyberg, T Mitamura Proceedings of the 11th NTCIR Conference, 2014 | 14 | 2014 |
| An annotation similarity model in passage ranking for historical fact validation J Araki, J Callan Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 14 | 2014 |
| Interoperable annotation of events and event relations across domains J Araki, L Mulaffer, A Pandian, Y Yamakawa, K Oflazer, T Mitamura Proceedings of the 14th Joint ACL-ISO Workshop on Interoperable Semantic …, 2018 | 12 | 2018 |
| CMU-LTI at KBP 2016 Event Nugget Track. Z Liu, J Araki, T Mitamura, EH Hovy TAC 11, 85, 2016 | 12 | 2016 |
| Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering Z Jiang, J Araki, H Ding, G Neubig Proceedings of the 29th International Conference on Computational …, 2022 | 10 | 2022 |
Graham NeubigCarnegie Mellon University, All Hands AI在 cs.cmu.edu 的电子邮件经过验证
