Auto-em: End-to-end fuzzy entity-matching using pre-trained deep models and transfer learning C Zhao, Y He The World Wide Web Conference, 2413-2424, 2019 | 100 | 2019 |
Transformer-xh: Multi-evidence reasoning with extra hop attention C Zhao, C Xiong, C Rosset, X Song, P Bennett, S Tiwary | 90 | 2020 |
Dataset and baselines for sequential open-domain question answering A Elgohary, C Zhao, J Boyd-Graber Empirical Methods in Natural Language Processing, 2018 | 42 | 2018 |
Complex factoid question answering with a free-text knowledge graph C Zhao, C Xiong, X Qian, J Boyd-Graber Proceedings of The Web Conference 2020, 1205-1216, 2020 | 33 | 2020 |
Lightnet: A versatile, standalone matlab-based environment for deep learning C Ye, C Zhao, Y Yang, C Fermüller, Y Aloimonos Proceedings of the 24th ACM international conference on Multimedia, 1156-1159, 2016 | 28 | 2016 |
On the potential of lexico-logical alignments for semantic parsing to SQL queries T Shi, C Zhao, J Boyd-Graber, H Daumé III, L Lee arXiv preprint arXiv:2010.11246, 2020 | 24 | 2020 |
Multi-step reasoning over unstructured text with beam dense retrieval C Zhao, C Xiong, J Boyd-Graber, H Daumé III arXiv preprint arXiv:2104.05883, 2021 | 17 | 2021 |
What's in a Name? Answer Equivalence For Open-Domain Question Answering C Si, C Zhao, J Boyd-Graber arXiv preprint arXiv:2109.05289, 2021 | 10 | 2021 |
Atom decomposition with adaptive basis selection strategy for matrix completion Y Hu, C Zhao, D Cai, X He, X Li ACM Transactions on Multimedia Computing, Communications, and Applications …, 2016 | 7 | 2016 |
Distantly-supervised dense retrieval enables open-domain question answering without evidence annotation C Zhao, C Xiong, J Boyd-Graber, H Daumé III Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 6 | 2021 |
Bridging the generalization gap in text-to-SQL parsing with schema expansion C Zhao, Y Su, A Pauls, EA Platanios Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 4 | 2022 |
On the relation between sensitivity and accuracy in in-context learning Y Chen, C Zhao, Z Yu, K McKeown, H He arXiv preprint arXiv:2209.07661, 2022 | 3 | 2022 |
Distantly-supervised evidence retrieval enables question answering without evidence annotation C Zhao, C Xiong, J Boyd-Graber, H Daumé III arXiv preprint arXiv:2110.04889, 2021 | 1 | 2021 |
Atom Decomposition Based Subgradient Descent for matrix classification W Chu, Y Hu, C Zhao, H Liu, D Cai Neurocomputing 205, 222-228, 2016 | 1 | 2016 |
Inter-document attention mechanism C Xiong, C Zhao, CL Rosset, PN Bennett, X Song, SK Tiwary US Patent App. 17/866,854, 2022 | | 2022 |
Inter-document attention mechanism C Xiong, C Zhao, CL Rosset, PN Bennett, X Song, SK Tiwary US Patent 11,423,093, 2022 | | 2022 |
Revisiting Calibration for Question Answering C Si, C Zhao, S Min, J Boyd-Graber arXiv preprint arXiv:2205.12507, 2022 | | 2022 |
Towards Practical Complex Question Answering C Zhao University of Maryland, College Park, 2022 | | 2022 |
QBLink: A Dataset for Sequential Open-Domain Question Answering AE Ghoneim, C Zhao | | 2018 |
Re-Examining Calibration: The Case of Question Answering C Si, C Zhao, S Min, J Boyd-Graber Findings of Empirical Methods in Natural Language Processing, 0 | | |