| Conditional bert contextual augmentation X Wu, S Lv, L Zang, J Han, S Hu ICCS 2019, 84-95, 2019 | 354 | 2019 |
| " Mask and Infill": Applying Masked Language Model to Sentiment Transfer X Wu, T Zhang, L Zang, J Han, S Hu IJCAI 2019, 2019 | 121 | 2019 |
| Esimcse: Enhanced sample building method for contrastive learning of unsupervised sentence embedding X Wu, C Gao, L Zang, J Han, Z Wang, S Hu COLING 2022, 2021 | 89 | 2021 |
| Contextual Masked Auto-encoder for Dense Passage Retrieval X Wu, G Ma, M Lin, Z Lin, Z Wang, S Hu AAAI 2023, 2022 | 35 | 2022 |
| Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks X Wu, C Gao, M Lin, L Zang, Z Wang, S Hu ACL 2022 Main Conference, 2022 | 29* | 2022 |
| InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings X Wu, C Gao, Z Lin, J Han, Z Wang, S Hu Findings of EMNLP 2022, 2022 | 20 | 2022 |
| Smoothed contrastive learning for unsupervised sentence embedding X Wu, C Gao, L Zang, J Han, Z Wang, S Hu COLING 2022, 2021 | 17 | 2021 |
| Imbalanced sentiment classification enhanced with discourse marker T Zhang, X Wu, M Lin, J Han, S Hu ICANN 2019, 117-129, 2019 | 7 | 2019 |
| DistilCSE: Effective Knowledge Distillation For Contrastive Learning of Sentence Embeddings C Gao, X Wu, J Wang, L Zang, Z Wang, S Hu arXiv preprint arXiv:2112.05638, 2021 | 6 | 2021 |
| RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval X Wu, C Gao, Z Lin, Z Wang, J Han, S Hu Findings of EMNLP 2022, 2022 | 5 | 2022 |
| Cot-mae v2: contextual masked auto-encoder with multi-view modeling for passage retrieval X Wu, G Ma, P Wang, M Lin, Z Lin, F Zhang, S Hu arXiv preprint arXiv:2304.03158, 2023 | 4 | 2023 |
| Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval G Ma, X Wu, P Wang, Z Lin, S Hu arXiv preprint arXiv:2308.08285, 2023 | 3 | 2023 |
| Query-as-context Pre-training for Dense Passage Retrieval X Wu, G Ma, W Qian, Z Lin, S Hu EMNLP 2023 Main Conference, 2022 | 3 | 2022 |
| Cot-mote: exploring contextual masked auto-encoder pre-training with mixture-of-textual-experts for passage retrieval G Ma, X Wu, P Wang, S Hu arXiv preprint arXiv:2304.10195, 2023 | 2 | 2023 |
| Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval G Ma, X Wu, Z Lin, S Hu SIGIR 2024 full paper, 2024 | | 2024 |
| InfoEntropy Loss to Mitigate Bias of Learning Difficulties for Generative Language Models Z Su, X Wu, X Bai, Z Lin, H Chen, G Ding, W Zhou, S Hu NAACL 2024, 2023 | | 2023 |
| ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems Z Su, X Wu, W Zhou, G Ma NAACL 2024, 2023 | | 2023 |
| PUNR: Pre-training with User Behavior Modeling for News Recommendation G Ma, H Liu, X Wu, W Qian, Z Lv, Q Yang, S Hu Findings of EMNLP 2023, 2023 | | 2023 |
Jizhong hanInstitute of Information Engineering, CASVerified email at iie.ac.cn
