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2020 – today
- 2024
[j14]Qiushi Zhu
, Long Zhou, Ziqiang Zhang, Shujie Liu, Binxing Jiao, Jie Zhang, Li-Rong Dai, Daxin Jiang, Jinyu Li, Furu Wei:
VatLM: Visual-Audio-Text Pre-Training With Unified Masked Prediction for Speech Representation Learning. IEEE Trans. Multim. 26: 1055-1064 (2024)- [j13]Qian Liu, Xiubo Geng, Yu Wang, Erik Cambria, Daxin Jiang:
Disentangled Retrieval and Reasoning for Implicit Question Answering. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7804-7815 (2024) - [c145]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang:
Fine-Grained Distillation for Long Document Retrieval. AAAI 2024: 19732-19740 - [c144]Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang:
Synergistic Interplay between Search and Large Language Models for Information Retrieval. ACL (1) 2024: 9571-9583 - [c143]Chongyang Tao, Chang Liu, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang:
ADAM: Dense Retrieval Distillation with Adaptive Dark Examples. ACL (Findings) 2024: 11639-11651 - [c142]Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Yibin Lei, Tianyi Zhou, Michael Blumenstein, Daxin Jiang:
Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever. ACL (Findings) 2024: 15933-15946 - [c141]Yiyuan Yang, Guodong Long, Michael Blumenstein, Xiubo Geng, Chongyang Tao, Tao Shen, Daxin Jiang:
Pre-training Cross-Modal Retrieval by Expansive Lexicon-Patch Alignment. LREC/COLING 2024: 12977-12987 - [c140]Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
WizardCoder: Empowering Code Large Language Models with Evol-Instruct. ICLR 2024 - [c139]Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang:
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions. ICLR 2024 - [i116]Yifei Yang, Tianqiao Liu, Bo Shao, Hai Zhao, Linjun Shou, Ming Gong, Daxin Jiang:
Hypertext Entity Extraction in Webpage. CoRR abs/2403.01698 (2024) - 2023
- [j12]Qian Liu, Xiubo Geng, Heyan Huang, Tao Qin, Jie Lu, Daxin Jiang:
MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2594-2605 (2023) - [c138]Zimeng Li, Bo Shao, Linjun Shou, Ming Gong, Gen Li, Daxin Jiang:
WIERT: Web Information Extraction via Render Tree. AAAI 2023: 13166-13173 - [c137]Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang:
A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. AAAI 2023: 13861-13868 - [c136]Zhen Li, Chongyang Tao, Jiazhan Feng, Tao Shen, Dongyan Zhao, Xiubo Geng, Daxin Jiang:
FAA: Fine-grained Attention Alignment for Cascade Document Ranking. ACL (1) 2023: 1688-1700 - [c135]Nuo Chen, Linjun Shou, Tengtao Song, Ming Gong, Jian Pei, Jianhui Chang, Daxin Jiang, Jia Li:
Structural Contrastive Pretraining for Cross-Lingual Comprehension. ACL (Findings) 2023: 2042-2057 - [c134]Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei:
SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval. ACL (1) 2023: 2244-2258 - [c133]Chongyang Tao, Jiazhan Feng, Tao Shen, Chang Liu, Juntao Li, Xiubo Geng, Daxin Jiang:
CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection. ACL (1) 2023: 3102-3114 - [c132]Nuo Chen, Linjun Shou, Jian Pei, Ming Gong, Bowen Cao, Jianhui Chang, Jia Li, Daxin Jiang:
Alleviating Over-smoothing for Unsupervised Sentence Representation. ACL (1) 2023: 3552-3566 - [c131]Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan:
Code Execution with Pre-trained Language Models. ACL (Findings) 2023: 4984-4999 - [c130]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang:
Towards Robust Ranker for Text Retrieval. ACL (Findings) 2023: 5387-5401 - [c129]Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang:
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. CIKM 2023: 4871-4878 - [c128]Meng Cao, Fangyun Wei, Can Xu, Xiubo Geng, Long Chen, Can Zhang, Yuexian Zou, Tao Shen, Daxin Jiang:
Iterative Proposal Refinement for Weakly-Supervised Video Grounding. CVPR 2023: 6524-6534 - [c127]Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang:
Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning. ECAI 2023: 2543-2551 - [c126]Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Daxin Jiang:
Instructed Language Models with Retrievers Are Powerful Entity Linkers. EMNLP 2023: 2267-2282 - [c125]Hao Sun, Xiao Liu, Yeyun Gong, Yan Zhang, Daxin Jiang, Linjun Yang, Nan Duan:
Allies: Prompting Large Language Model with Beam Search. EMNLP (Findings) 2023: 3794-3805 - [c124]Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Daxin Jiang:
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. EMNLP (Findings) 2023: 7480-7492 - [c123]Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. ICCV 2023: 11172-11183 - [c122]Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang:
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval. ICLR 2023 - [c121]Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang:
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP. ICLR 2023 - [c120]Zefeng Cai, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Xin Alex Lin, Liang He, Daxin Jiang:
HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization. ICLR 2023 - [c119]Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan:
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval. ICLR 2023 - [c118]Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang:
UnifieR: A Unified Retriever for Large-Scale Retrieval. KDD 2023: 4787-4799 - [c117]Ning Wu, Ming Gong, Linjun Shou, Shining Liang, Daxin Jiang:
Large Language Models are Diverse Role-Players for Summarization Evaluation. NLPCC (1) 2023: 695-707 - [c116]Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen:
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers. ECML/PKDD (2) 2023: 630-647 - [c115]Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang:
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. SIGIR-AP 2023: 212-222 - [c114]Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang:
LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. WWW 2023: 3203-3213 - [c113]Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan:
PROD: Progressive Distillation for Dense Retrieval. WWW 2023: 3299-3308 - [i115]Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan:
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval. CoRR abs/2302.01626 (2023) - [i114]Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwen Lin, Daxin Jiang:
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval. CoRR abs/2302.02908 (2023) - [i113]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Chenyu You, Jianhui Chang, Daxin Jiang, Jia Li:
Bridge the Gap between Language models and Tabular Understanding. CoRR abs/2302.09302 (2023) - [i112]Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang:
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. CoRR abs/2303.14979 (2023) - [i111]Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, Daxin Jiang:
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval. CoRR abs/2303.14991 (2023) - [i110]Ning Wu, Ming Gong, Linjun Shou, Shining Liang, Daxin Jiang:
Large Language Models are Diverse Role-Players for Summarization Evaluation. CoRR abs/2303.15078 (2023) - [i109]Nan Yang, Tao Ge, Liang Wang, Binxing Jiao, Daxin Jiang, Linjun Yang, Rangan Majumder, Furu Wei:
Inference with Reference: Lossless Acceleration of Large Language Models. CoRR abs/2304.04487 (2023) - [i108]Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang:
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. CoRR abs/2304.08138 (2023) - [i107]Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Daxin Jiang:
WizardLM: Empowering Large Language Models to Follow Complex Instructions. CoRR abs/2304.12244 (2023) - [i106]Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Tianyi Zhou, Daxin Jiang:
Large Language Models are Strong Zero-Shot Retriever. CoRR abs/2304.14233 (2023) - [i105]Ziyang Luo, Can Xu, Pu Zhao, Xiubo Geng, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
Augmented Large Language Models with Parametric Knowledge Guiding. CoRR abs/2305.04757 (2023) - [i104]Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan:
Code Execution with Pre-trained Language Models. CoRR abs/2305.05383 (2023) - [i103]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Bowen Cao, Jianhui Chang, Daxin Jiang, Jia Li:
Alleviating Over-smoothing for Unsupervised Sentence Representation. CoRR abs/2305.06154 (2023) - [i102]Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang:
Knowledge Refinement via Interaction Between Search Engines and Large Language Models. CoRR abs/2305.07402 (2023) - [i101]Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan:
BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver. CoRR abs/2305.14766 (2023) - [i100]Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
WizardCoder: Empowering Code Large Language Models with Evol-Instruct. CoRR abs/2306.08568 (2023) - [i99]Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang:
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning. CoRR abs/2307.15411 (2023) - [i98]Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang:
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. CoRR abs/2309.10469 (2023) - [i97]Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Jian Pei, Daxin Jiang:
Instructed Language Models with Retrievers Are Powerful Entity Linkers. CoRR abs/2311.03250 (2023) - [i96]Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Jian Pei, Daxin Jiang:
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. CoRR abs/2311.03253 (2023) - 2022
- [j11]Yong Dai, Linjun Shou, Ming Gong, Xiaolin Xia, Zhao Kang, Zenglin Xu, Daxin Jiang:
Graph Fusion Network for Text Classification. Knowl. Based Syst. 236: 107659 (2022) - [c112]Jun Quan, Ze Wei, Qiang Gan, Jingqi Yao, Jingyi Lu, Yuchen Dong, Yiming Liu, Yi Zeng, Chao Zhang, Yongzhi Li, Huang Hu, Yingying He, Yang Yang, Daxin Jiang:
FORCE: A Framework of Rule-Based Conversational Recommender System. AAAI 2022: 13215-13217 - [c111]Chao-Hong Tan, Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Huang Hu, Xiubo Geng, Daxin Jiang:
TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge. ACL (Findings) 2022: 1597-1609 - [c110]Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan:
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text. ACL (Findings) 2022: 1619-1629 - [c109]Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang:
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. ACL (1) 2022: 2559-2575 - [c108]Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang:
Multimodal Dialogue Response Generation. ACL (1) 2022: 2854-2866 - [c107]Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei:
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. ACL (Findings) 2022: 3510-3520 - [c106]Yufei Wang, Can Xu, Qingfeng Sun, Huang Hu, Chongyang Tao, Xiubo Geng, Daxin Jiang:
PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks. ACL (1) 2022: 4242-4255 - [c105]Wei Chen, Yeyun Gong, Can Xu, Huang Hu, Bolun Yao, Zhongyu Wei, Zhihao Fan, Xiaowu Hu, Bartuer Zhou, Biao Cheng, Daxin Jiang, Nan Duan:
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations. ACL (1) 2022: 4865-4877 - [c104]Jia-Chen Gu, Chao-Hong Tan, Chongyang Tao, Zhen-Hua Ling, Huang Hu, Xiubo Geng, Daxin Jiang:
HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations. ACL (1) 2022: 5086-5097 - [c103]Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan:
Multi-View Document Representation Learning for Open-Domain Dense Retrieval. ACL (1) 2022: 5990-6000 - [c102]Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue:
Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. CIKM 2022: 2806-2816 - [c101]Tao Shen, Xiubo Geng, Daxin Jiang:
Social Norms-Grounded Machine Ethics in Complex Narrative Situation. COLING 2022: 1333-1343 - [c100]Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan:
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion. ECCV (16) 2022: 720-736 - [c99]Xiaonan Li, Daya Guo, Yeyun Gong, Yun Lin, Yelong Shen, Xipeng Qiu, Daxin Jiang, Weizhu Chen, Nan Duan:
Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation. EMNLP (Findings) 2022: 118-129 - [c98]Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang:
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. EMNLP (Findings) 2022: 444-459 - [c97]Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan:
CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search. EMNLP 2022: 2898-2910 - [c96]Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, Daxin Jiang:
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval. EMNLP 2022: 3107-3121 - [c95]Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan:
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. EMNLP (Findings) 2022: 4117-4129 - [c94]Yong Wang, Shilin He, Guanhua Chen, Yun Chen, Daxin Jiang:
XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation. EMNLP 2022: 6934-6946 - [c93]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. EMNLP 2022: 9903-9918 - [c92]Qiyu Wu, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Daxin Jiang:
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings. EMNLP 2022: 12052-12066 - [c91]Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang:
Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. IJCAI 2022: 4411-4417 - [c90]Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Daxin Jiang, Kam-Fai Wong:
RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models. AACL/IJCNLP (1) 2022: 489-500 - [c89]Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang:
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning. INTERSPEECH 2022: 2723-2727 - [c88]Hao Huang, Xiubo Geng, Guodong Long, Daxin Jiang:
Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding. NAACL-HLT 2022: 375-384 - [c87]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang:
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. NAACL-HLT 2022: 1909-1923 - [c86]Qingfeng Sun, Can Xu, Huang Hu, Yujing Wang, Jian Miao, Xiubo Geng, Yining Chen, Fei Xu, Daxin Jiang:
Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting. NAACL-HLT 2022: 3304-3318 - [c85]Qianglong Chen, Xiangji Zeng, Jiangang Zhu, Yin Zhang, Bojia Lin, Yang Yang, Daxin Jiang:
Rethinking the Value of Gazetteer in Chinese Named Entity Recognition. NLPCC (1) 2022: 285-297 - [c84]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. KaRS@RecSys 2022: 45-52 - [c83]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. KaRS@RecSys 2022: 53-64 - [c82]Jia Li, Chongyang Tao, Huang Hu, Can Xu, Yining Chen, Daxin Jiang:
Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training. WSDM 2022: 562-570 - [c81]Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang:
EventBERT: A Pre-Trained Model for Event Correlation Reasoning. WWW 2022: 850-859 - [i95]Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan:
CodeRetriever: Unimodal and Bimodal Contrastive Learning. CoRR abs/2201.10866 (2022) - [i94]Qiyu Wu, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Daxin Jiang:
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings. CoRR abs/2201.12093 (2022) - [i93]Minheng Ni, Chenfei Wu, Haoyang Huang, Daxin Jiang, Wangmeng Zuo, Nan Duan:
NÜWA-LIP: Language Guided Image Inpainting with Defect-free VQGAN. CoRR abs/2202.05009 (2022) - [i92]Yufei Wang, Can Xu, Qingfeng Sun, Huang Hu, Chongyang Tao, Xiubo Geng, Daxin Jiang:
PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks. CoRR abs/2202.12499 (2022) - [i91]Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang:
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. CoRR abs/2203.02225 (2022) - [i90]Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan:
Multi-View Document Representation Learning for Open-Domain Dense Retrieval. CoRR abs/2203.08372 (2022) - [i89]Jia-Chen Gu, Chao-Hong Tan, Chongyang Tao, Zhen-Hua Ling, Huang Hu, Xiubo Geng, Daxin Jiang:
HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations. CoRR abs/2203.08500 (2022) - [i88]Chao-Hong Tan, Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Huang Hu, Xiubo Geng, Daxin Jiang:
TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge. CoRR abs/2203.08517 (2022) - [i87]Jun Quan, Ze Wei, Qiang Gan, Jingqi Yao, Jingyi Lu, Yuchen Dong, Yiming Liu, Yi Zeng, Chao Zhang, Yongzhi Li, Huang Hu, Yingying He, Yang Yang, Daxin Jiang:
FORCE: A Framework of Rule-Based Conversational Recommender System. CoRR abs/2203.10001 (2022) - [i86]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. CoRR abs/2204.00849 (2022) - [i85]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang:
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. CoRR abs/2204.05210 (2022) - [i84]Qingfeng Sun, Can Xu, Huang Hu, Yujing Wang, Jian Miao, Xiubo Geng, Yining Chen, Fei Xu, Daxin Jiang:
Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting. CoRR abs/2204.05610 (2022) - [i83]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. CoRR abs/2205.03656 (2022) - [i82]Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Kai Zhang, Daxin Jiang:
UnifieR: A Unified Retriever for Large-Scale Retrieval. CoRR abs/2205.11194 (2022) - [i81]Lanling Xu, Jianxun Lian, Wayne Xin Zhao, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Ji-Rong Wen:
Negative Sampling for Contrastive Representation Learning: A Review. CoRR abs/2206.00212 (2022) - [i80]Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei:
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. CoRR abs/2206.00216 (2022) - [i79]Tianyu Chen, Shaohan Huang, Yuan Xie, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei:
Task-Specific Expert Pruning for Sparse Mixture-of-Experts. CoRR abs/2206.00277 (2022) - [i78]