| Joint event and temporal relation extraction with shared representations and structured prediction R Han, Q Ning, N Peng Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 146 | 2019 |
| TORQUE: A reading comprehension dataset of temporal ordering questions Q Ning, H Wu, R Han, N Peng, M Gardner, D Roth Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 107 | 2020 |
| Econet: Effective continual pretraining of language models for event temporal reasoning R Han, X Ren, N Peng Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2020 | 67 | 2020 |
| Deep structured neural network for event temporal relation extraction R Han, I Hsu, M Yang, A Galstyan, R Weischedel, N Peng the Conference on Computational Natural Language Learning (CoNLL 2019), 2019 | 63 | 2019 |
| Clinical temporal relation extraction with probabilistic soft logic regularization and global inference Y Zhou, Y Yan, R Han, JH Caufield, KW Chang, Y Sun, P Ping, W Wang Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14647 …, 2021 | 54 | 2021 |
| Domain knowledge empowered structured neural net for end-to-end event temporal relation extraction R Han, Y Zhou, N Peng Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 45 | 2020 |
| Ester: A machine reading comprehension dataset for reasoning about event semantic relations R Han, IH Hsu, J Sun, J Baylon, Q Ning, D Roth, N Peng Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 40* | 2021 |
| Eventplus: A temporal event understanding pipeline MD Ma, J Sun, M Yang, KH Huang, N Wen, S Singh, R Han, N Peng arXiv preprint arXiv:2101.04922, 2021 | 32 | 2021 |
| Character-Centric Story Visualization via Visual Planning and Token Alignment H Chen, R Han, TL Wu, H Nakayama, N Peng Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 21 | 2022 |
| Contextualized word embeddings enhanced event temporal relation extraction for story understanding R Han, M Liang, B Alhafni, N Peng arXiv preprint arXiv:1904.11942, 2019 | 21 | 2019 |
| Conditional word embedding and hypothesis testing via bayes-by-backprop R Han, M Gill, A Spirling, K Cho Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 18 | 2018 |
| Go Back in Time: Generating Flashbacks in Stories with Event Temporal Prompts R Han, H Chen, Y Tian, N Peng 2022 Annual Conference of the North American Chapter of the Association for …, 2022 | 17 | 2022 |
| Modeling context in answer sentence selection systems on a latency budget R Han, L Soldaini, A Moschitti arXiv preprint arXiv:2101.12093, 2021 | 17 | 2021 |
| RobustQA: Benchmarking the robustness of domain adaptation for open-domain question answering R Han, P Qi, Y Zhang, L Liu, J Burger, WY Wang, Z Huang, B Xiang, ... Findings of the Association for Computational Linguistics: ACL 2023, 4294-4311, 2023 | 8 | 2023 |
| Accent: An automatic event commonsense evaluation metric for open-domain dialogue systems S Ghazarian, Y Shao, R Han, A Galstyan, N Peng arXiv preprint arXiv:2305.07797, 2023 | 5 | 2023 |
| Becoming a Dentist: Tracing Professional Identity Development Through Mixed Methods Data Mining of Student Reflections. AF Wise, S Reza, R Han ICLS, 2020 | 4 | 2020 |
| Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models Z Wu, Y Zhang, P Qi, Y Xu, R Han, Y Zhang, J Chen, B Min, Z Huang arXiv preprint arXiv:2407.21417, 2024 | | 2024 |
| RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering R Han, Y Zhang, P Qi, Y Xu, J Wang, L Liu, WY Wang, B Min, V Castelli arXiv preprint arXiv:2407.13998, 2024 | | 2024 |
