Daxin Jiang

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 244

Top Venues

Publications

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) (2024)
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)
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)
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)
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)
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 (2024)
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)
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)
Yifei Yang, Tianqiao Liu, Bo Shao, Hai Zhao, Linjun Shou, Ming Gong, Daxin Jiang
Hypertext Entity Extraction in Webpage. CoRR (2024)
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)
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 (2023)
Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Jian Pei, Daxin Jiang
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. CoRR (2023)
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) (2023)
Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Jian Pei, Daxin Jiang
Instructed Language Models with Retrievers Are Powerful Entity Linkers. CoRR (2023)
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)
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)
Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Bowen Cao, Jianhui Chang, Daxin Jiang, Jia Li
Alleviating Over-smoothing for Unsupervised Sentence Representation. CoRR (2023)
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)
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 (2023)
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)
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)
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 (2023)
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 (2023)
Zimeng Li, Bo Shao, Linjun Shou, Ming Gong, Gen Li, Daxin Jiang
WIERT: Web Information Extraction via Render Tree. AAAI (2023)
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)
Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, Daxin Jiang
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval. CoRR (2023)
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)
Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval. CoRR (2023)
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)
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)
Ning Wu, Ming Gong, Linjun Shou, Shining Liang, Daxin Jiang
Large Language Models are Diverse Role-Players for Summarization Evaluation. NLPCC (1) (2023)
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)
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)
Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. CoRR (2023)
Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang
UnifieR: A Unified Retriever for Large-Scale Retrieval. KDD (2023)
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 (2023)
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 (2023)
Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. CIKM (2023)
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)
Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Daxin Jiang
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. EMNLP (Findings) (2023)
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)
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 (2023)
Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan
Code Execution with Pre-trained Language Models. CoRR (2023)
Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval. ICLR (2023)
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)
Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Tianyi Zhou, Daxin Jiang
Large Language Models are Strong Zero-Shot Retriever. CoRR (2023)
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)
Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. CoRR (2023)
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 (2023)
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)
Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. CoRR (2023)
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 (2023)
Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Daxin Jiang
Instructed Language Models with Retrievers Are Powerful Entity Linkers. EMNLP (2023)
Ning Wu, Ming Gong, Linjun Shou, Shining Liang, Daxin Jiang
Large Language Models are Diverse Role-Players for Summarization Evaluation. CoRR (2023)
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)
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)
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)
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 (2022)
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)
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)
Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan
Multi-View Document Representation Learning for Open-Domain Dense Retrieval. CoRR (2022)
Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan
Multi-View Document Representation Learning for Open-Domain Dense Retrieval. ACL (1) (2022)
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 (2022)
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 (2022)
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)
Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. CoRR (2022)
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)
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 (2022)
Chang Liu, Chongyang Tao, Xiubo Geng, Tao Shen, Dongyan Zhao, Can Xu, Binxing Jiao, Daxin Jiang
Adam: Dense Retrieval Distillation with Adaptive Dark Examples. CoRR (2022)
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)
Shengyao Zhuang, Houxing Ren, Linjun Shou, Jian Pei, Ming Gong, Guido Zuccon, Daxin Jiang
Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation. CoRR (2022)
Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, Daxin Jiang
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval. EMNLP (2022)
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 (2022)
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)
Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval. CoRR (2022)
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)
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)
Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang
Towards Robust Ranker for Text Retrieval. CoRR (2022)
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)
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)
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. CoRR (2022)
Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Guodong Long, Can Xu, Daxin Jiang
Fine-Grained Distillation for Long Document Retrieval. CoRR (2022)
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)
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)
Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jian Jiao, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan
LEAD: Liberal Feature-based Distillation for Dense Retrieval. CoRR (2022)
Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang
LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. CoRR (2022)
Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang
EventBERT: A Pre-Trained Model for Event Correlation Reasoning. WWW (2022)
Qiyu Wu, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Daxin Jiang
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings. CoRR (2022)
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 (2022)
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 (2022)
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 (2022)
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. CoRR (2022)
Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Kai Zhang, Daxin Jiang
UnifieR: A Unified Retriever for Large-Scale Retrieval. CoRR (2022)
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)
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 Few-Shot NLP. CoRR (2022)
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)
Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang
Transformer-Empowered Content-Aware Collaborative Filtering. CoRR (2022)
Minheng Ni, Chenfei Wu, Haoyang Huang, Daxin Jiang, Wangmeng Zuo, Nan Duan
NÜWA-LIP: Language Guided Image Inpainting with Defect-free VQGAN. CoRR (2022)
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 (2022)
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. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daxin Jiang