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 | 497 | 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 | 66 | 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 | 26 | 2020 |
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 | 23 | 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 | 20* | 2021 |
Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval W Zhong, JH Yang, J Lin EMNLP 2022, 2022 | 11 | 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 | 9 | 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 | 9 | 2020 |
Applying structural and dense semantic matching for the arqmath lab 2022, clef W Zhong, Y Xie, J Lin Proceedings of the Working Notes of CLEF, 5-8, 2022 | 6 | 2022 |
Taesik Na, Xiao Xiao, Saurav Manchanda, Young Rao, Zhihong Xu, Guanghua Shu, Esther Vasiete, Tejaswi Tenneti, and Haixun Wang. 2022. An Embedding-Based Grocery Search Model at … Y Xie arXiv preprint arXiv:2209.05555, 2022 | 3 | 2022 |
Improving prediction backward-compatiblility in NLP model upgrade with gated fusion YA Lai, E Mansimov, Y Xie, Y Zhang arXiv preprint arXiv:2302.02080, 2023 | 1 | 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 |
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 | | 2023 |
Search Relevance Model Using Self-Adversarial Negative Sampling Y Xie, NA Taesik, S Manchanda US Patent App. 18/107,854, 2023 | | 2023 |
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion YZ Yi-An Lai, Elman Mansimov, Yuqing Xie EACL 2023 Findings, 2023 | | 2023 |
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 | | 2022 |