| End-to-end open-domain question answering with bertserini W Yang, Y Xie, A Lin, X Li, L Tan, K Xiong, M Li, J Lin NAACL 2019, 2019 | 562 | 2019 |
| Data augmentation for bert fine-tuning in open-domain question answering W Yang, Y Xie, L Tan, K Xiong, M Li, J Lin arXiv preprint arXiv:1904.06652, 2019 | 71 | 2019 |
| Rapid adaptation of bert for information extraction on domain-specific business documents R Zhang, W Yang, L Lin, Z Tu, Y Xie, Z Fu, Y Xie, L Tan, K Xiong, J Lin arXiv preprint arXiv:2002.01861, 2020 | 29 | 2020 |
| Segatron: Segment-Aware Transformer for Language Modeling and Understanding ML He Bai, Peng Shi, Jimmy Lin, Yuqing Xie, Luchen Tan, Kun Xiong, Wen Gao AAAI 2021, 2021 | 26* | 2021 |
| Distant supervision for multi-stage fine-tuning in retrieval-based question answering Y Xie, W Yang, L Tan, K Xiong, NJ Yuan, B Huai, M Li, J Lin Proceedings of The Web Conference 2020, 2934-2940, 2020 | 26 | 2020 |
| Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval W Zhong, JH Yang, J Lin EMNLP 2022, 2022 | 20 | 2022 |
| Regression bugs are in your model! measuring, reducing and analyzing regressions in nlp model updates Y Xie, Y Lai, Y Xiong, Y Zhang, S Soatto ACL 2021, 2021 | 12 | 2021 |
| Approximate nearest neighbor search and lightweight dense vector reranking in multi-stage retrieval architectures Z Tu, W Yang, Z Fu, Y Xie, L Tan, K Xiong, M Li, J Lin Proceedings of the 2020 ACM SIGIR on International Conference on Theory of …, 2020 | 12 | 2020 |
| Applying Structural and Dense Semantic Matching for the ARQMath Lab 2022, CLEF. W Zhong, Y Xie, J Lin CLEF (Working Notes), 147-170, 2022 | 10 | 2022 |
| An Embedding-Based Grocery Search Model at Instacart Y Xie, T Na, X Xiao, S Manchanda, Y Rao, Z Xu, G Shu, E Vasiete, ... SIGIR E-Coms, 2022 | 5* | 2022 |
| Approximating Human-Like Few-shot Learning with GPT-based Compression C Huang, Y Xie, Z Jiang, J Lin, M Li arXiv preprint arXiv:2308.06942, 2023 | 3 | 2023 |
| Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion YZ Yi-An Lai, Elman Mansimov, Yuqing Xie EACL 2023 Findings, 2023 | 2* | 2023 |
| Training a machine learned model to determine relevance of items to a query using different sets of training data from a common domain NA Taesik, Y Xie, T Tenneti, H Wang US Patent App. 17/668,358, 2023 | | 2023 |
| Answer Retrieval for Math Questions Using Structural and Dense Retrieval W Zhong, Y Xie, J Lin International Conference of the Cross-Language Evaluation Forum for European …, 2023 | | 2023 |
| Information Access Using Neural Networks For Diverse Domains And Sources Y Xie University of Waterloo, 2023 | | 2023 |
| Search Relevance Model Using Self-Adversarial Negative Sampling Y Xie, NA Taesik, S Manchanda US Patent App. 18/107,854, 2023 | | 2023 |
Jimmy LinUniversity of Waterloo在 uwaterloo.ca 的电子邮件经过验证
