| Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification X Chen, Y Sun, B Athiwaratkun, K Weinberger, C Cardie arXiv 1606.01614, 2016 | 364 | 2016 |
| Muppet: Massive multi-task representations with pre-finetuning A Aghajanyan, A Gupta, A Shrivastava, X Chen, L Zettlemoyer, S Gupta arXiv preprint arXiv:2101.11038, 2021 | 263 | 2021 |
| Multinomial Adversarial Networks for Multi-Domain Text Classification X Chen, C Cardie Proceedings of NAACL-HLT 2018, 1226–1240, 2018 | 157 | 2018 |
| Multi-Source Cross-Lingual Model Transfer: Learning What to Share X Chen, AH Awadallah, H Hassan, W Wang, C Cardie ACL 2019, 2019 | 154 | 2019 |
| UniK-QA: Unified representations of structured and unstructured knowledge for open-domain question answering B Oguz*, X Chen*, V Karpukhin, S Peshterliev, D Okhonko, M Schlichtkrull, ... NAACL-HLT 2022 Findings, 2020 | 135* | 2020 |
| Unsupervised Multilingual Word Embeddings X Chen, C Cardie EMNLP 2018, 2018 | 134 | 2018 |
| Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing X Chen, A Ghoshal, Y Mehdad, L Zettlemoyer, S Gupta EMNLP 2020, 2020 | 91 | 2020 |
| Task-aware retrieval with instructions A Asai, T Schick, P Lewis, X Chen, G Izacard, S Riedel, H Hajishirzi, ... arXiv preprint arXiv:2211.09260, 2022 | 77 | 2022 |
| Neurips 2020 efficientqa competition: Systems, analyses and lessons learned S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ... NeurIPS 2020 Competition and Demonstration Track, 86-111, 2021 | 75 | 2021 |
| RA-DIT: Retrieval-Augmented Dual Instruction Tuning XV Lin*, X Chen*, M Chen*, W Shi, M Lomeli, R James, P Rodriguez, ... arXiv preprint arXiv:2310.01352, 2023 | 71 | 2023 |
| Nonparametric masked language modeling S Min, W Shi, M Lewis, X Chen, W Yih, H Hajishirzi, L Zettlemoyer arXiv preprint arXiv:2212.01349, 2022 | 57 | 2022 |
| Domain-matched pre-training tasks for dense retrieval B Oğuz, K Lakhotia, A Gupta, P Lewis, V Karpukhin, A Piktus, X Chen, ... arXiv preprint arXiv:2107.13602, 2021 | 57 | 2021 |
| How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval SC Lin*, A Asai, M Li, B Oguz, J Lin, Y Mehdad, W Yih, X Chen* arXiv preprint arXiv:2302.07452, 2023 | 56 | 2023 |
| Salient phrase aware dense retrieval: can a dense retriever imitate a sparse one? X Chen, K Lakhotia, B Oğuz, A Gupta, P Lewis, S Peshterliev, Y Mehdad, ... arXiv preprint arXiv:2110.06918, 2021 | 55 | 2021 |
| Combining global models for parsing universal dependencies T Shi, FG Wu, X Chen, Y Cheng Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw …, 2017 | 31 | 2017 |
| Hierarchical video-moment retrieval and step-captioning A Zala, J Cho, S Kottur, X Chen, B Oguz, Y Mehdad, M Bansal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 30 | 2023 |
| CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval M Li*, SC Lin, B Oguz, A Ghoshal, J Lin, Y Mehdad, W Yih, X Chen* ACL 2023, 2022 | 21 | 2022 |
| Simple local attentions remain competitive for long-context tasks W Xiong, B Oğuz, A Gupta, X Chen, D Liskovich, O Levy, W Yih, ... arXiv preprint arXiv:2112.07210, 2021 | 20 | 2021 |
| Multi-domain adaptation for SMT using multi-task learning L Cui, X Chen, D Zhang, S Liu, M Li, M Zhou Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 20 | 2013 |
| An introduction to vision-language modeling F Bordes, RY Pang, A Ajay, AC Li, A Bardes, S Petryk, O Mañas, Z Lin, ... arXiv preprint arXiv:2405.17247, 2024 | 17 | 2024 |
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