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2020 – today
- 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)- [c91]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 - [c90]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 - [c89]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 - [c88]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 - [c87]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 - [c86]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 - [c85]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 - [c84]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 - [c83]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 - [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 - [i82]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) - [i81]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) - [i80]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) - [i79]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) - [i78]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) - [i77]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) - [i76]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) - [i75]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) - [i74]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) - [i73]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) - [i72]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) - [i71]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) - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]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) - [i65]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. CoRR abs/2206.03281 (2022) - [i64]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang:
Towards Robust Ranker for Text Retrieval. CoRR abs/2206.08063 (2022) - [i63]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 abs/2206.10128 (2022) - [i62]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 abs/2206.10265 (2022) - 2021
- [c80]Ruijian Xu, Chongyang Tao, Daxin Jiang, Xueliang Zhao, Dongyan Zhao, Rui Yan:
Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues. AAAI 2021: 14158-14166 - [c79]Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang:
Reinforced Multi-Teacher Selection for Knowledge Distillation. AAAI 2021: 14284-14291 - [c78]Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang:
Integrating Pre-trained Model into Rule-based Dialogue Management. AAAI 2021: 16097-16099 - [c77]Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan:
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. ACL (demo) 2021: 232-239 - [c76]Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan:
GLGE: A New General Language Generation Evaluation Benchmark. ACL/IJCNLP (Findings) 2021: 408-420 - [c75]Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou:
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. ACL/IJCNLP (Findings) 2021: 1405-1418 - [c74]Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Xiubo Geng, Daxin Jiang:
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding. ACL/IJCNLP (1) 2021: 3682-3692 - [c73]Yucheng Zhou, Xiubo Geng, Tao Shen, Jian Pei, Wenqiang Zhang, Daxin Jiang:
Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning. ACL/IJCNLP (Findings) 2021: 4586-4596 - [c72]Hao Huang, Xiubo Geng, Jian Pei, Guodong Long, Daxin Jiang:
Reasoning over Entity-Action-Location Graph for Procedural Text Understanding. ACL/IJCNLP (1) 2021: 5100-5109 - [c71]Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan:
Syntax-Enhanced Pre-trained Model. ACL/IJCNLP (1) 2021: 5412-5422 - [c70]Zujie Liang, Huang Hu, Can Xu, Chongyang Tao, Xiubo Geng, Yining Chen, Fan Liang, Daxin Jiang:
Maria: A Visual Experience Powered Conversational Agent. ACL/IJCNLP (1) 2021: 5596-5611 - [c69]Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. ACL/IJCNLP (1) 2021: 5690-5700 - [c68]Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan:
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. EMNLP (Findings) 2021: 238-244 - [c67]Feilong Chen, Xiuyi Chen, Can Xu, Daxin Jiang:
Learning to Ground Visual Objects for Visual Dialog. EMNLP (Findings) 2021: 1081-1091 - [c66]Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang:
Re-entry Prediction for Online Conversations via Self-Supervised Learning. EMNLP (Findings) 2021: 2127-2137 - [c65]Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang:
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. EMNLP (1) 2021: 3226-3237 - [c64]Zujie Liang, Huang Hu, Can Xu, Jian Miao, Yingying He, Yining Chen, Xiubo Geng, Fan Liang, Daxin Jiang:
Learning Neural Templates for Recommender Dialogue System. EMNLP (1) 2021: 7821-7833 - [c63]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. ICLR 2021 - [c62]Ruozi Huang, Huang Hu, Wei Wu, Kei Sawada, Mi Zhang, Daxin Jiang:
Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning. ICLR 2021 - [c61]Chongyang Tao, Jiazhan Feng, Rui Yan, Wei Wu, Daxin Jiang:
A Survey on Response Selection for Retrieval-based Dialogues. IJCAI 2021: 4619-4626 - [c60]Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang, Dongmei Zhang:
Table2Charts: Recommending Charts by Learning Shared Table Representations. KDD 2021: 2389-2399 - [c59]Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. KDD 2021: 3231-3239 - [c58]Linjun Shou, Ming Gong, Jian Pei, Xiubo Geng, Xingjie Zhou, Daxin Jiang:
Language Scaling: Applications, Challenges and Approaches. KDD 2021: 4068-4069 - [c57]Qianlan Ying, Payal Bajaj, Budhaditya Deb, Yu Yang, Wei Wang, Bojia Lin, Milad Shokouhi, Xia Song, Yang Yang, Daxin Jiang:
Language Scaling for Universal Suggested Replies Model. NAACL-HLT (Industry Papers) 2021: 138-145 - [c56]Yucheng Zhou, Xiubo Geng, Tao Shen, Wenqiang Zhang, Daxin Jiang:
Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph. NAACL-HLT 2021: 5822-5834 - [c55]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks 2021 - [c54]Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang:
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation. NeurIPS 2021: 16938-16950 - [c53]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang:
CalibreNet: Calibration Networks for Multilingual Sequence Labeling. WSDM 2021: 842-850 - [c52]Qian Liu, Xiubo Geng, Jie Lu, Daxin Jiang:
Pivot-based Candidate Retrieval for Cross-lingual Entity Linking. WWW 2021: 1076-1085 - [c51]Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang:
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. WWW 2021: 3512-3523 - [i61]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR abs/2102.04664 (2021) - [i60]Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang:
Integrating Pre-trained Model into Rule-based Dialogue Management. CoRR abs/2102.08553 (2021) - [i59]Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan:
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. CoRR abs/2104.01767 (2021) - [i58]Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan:
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. CoRR abs/2104.08006 (2021) - [i57]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. CoRR abs/2105.03659 (2021) - [i56]Zujie Liang, Huang Hu, Can Xu, Chongyang Tao, Xiubo Geng, Yining Chen, Fan Liang, Daxin Jiang:
Maria: A Visual Experience Powered Conversational Agent. CoRR abs/2105.13073 (2021) - [i55]Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. CoRR abs/2105.13239 (2021) - [i54]Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. CoRR abs/2106.00241 (2021) - [i53]Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Xiubo Geng, Daxin Jiang:
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding. CoRR abs/2106.01541 (2021) - [i52]Qianlan Ying, Payal Bajaj, Budhaditya Deb, Yu Yang, Wei Wang, Bojia Lin, Milad Shokouhi, Xia Song, Yang Yang, Daxin Jiang:
Language Scaling for Universal Suggested Replies Model. CoRR abs/2106.02232 (2021) - [i51]Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang:
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation. CoRR abs/2107.13077 (2021) - [i50]Chuhan Wu, Fangzhao Wu, Tao Qi, Binxing Jiao, Daxin Jiang, Yongfeng Huang:
Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer. CoRR abs/2108.09193 (2021) - [i49]Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang:
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. CoRR abs/2109.01583 (2021) - [i48]Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang:
Re-entry Prediction for Online Conversations via Self-Supervised Learning. CoRR abs/2109.02020 (2021) - [i47]Feilong Chen, Xiuyi Chen, Can Xu, Daxin Jiang:
Learning to Ground Visual Objects for Visual Dialog. CoRR abs/2109.06013 (2021) - [i46]Zujie Liang, Huang Hu, Can Xu, Jian Miao, Yingying He, Yining Chen, Xiubo Geng, Fan Liang, Daxin Jiang:
Learning Neural Templates for Recommender Dialogue System. CoRR abs/2109.12302 (2021) - [i45]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. CoRR abs/2109.13087 (2021) - [i44]Chongyang Tao, Jiazhan Feng, Chang Liu, Juntao Li, Xiubo Geng, Daxin Jiang:
Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning. CoRR abs/2110.00159 (2021) - [i43]Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang:
EventBERT: A Pre-Trained Model for Event Correlation Reasoning. CoRR abs/2110.06533 (2021) - [i42]Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang:
Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph. CoRR abs/2110.07477 (2021) - [i41]Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang:
Multimodal Dialogue Response Generation. CoRR abs/2110.08515 (2021) - [i40]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. CoRR abs/2111.10154 (2021) - [i39]Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan:
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion. CoRR abs/2111.12417 (2021) - [i38]Nuo Chen, Linjun Shou, Min Gong, Jian Pei, Daxin Jiang:
From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension. CoRR abs/2112.04735 (2021) - 2020
- [c50]Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu:
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. AAAI 2020: 8449-8456 - [c49]Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang:
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. AAAI 2020: 8960-8967 - [c48]Gen Li, Nan Duan, Yuejian Fang, Ming Gong, Daxin Jiang:
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training. AAAI 2020: 11336-11344 - [c47]Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang:
Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension. ACL 2020: 925-934 - [c46]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. ACL 2020: 6053-6065 - [c45]Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou:
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. ACL 2020: 6118-6129 - [c44]Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu:
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. ACL 2020: 6708-6718 - [c43]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan:
RikiNet: Reading Wikipedia Pages for Natural Question Answering. ACL 2020: 6762-6771 - [c42]Zihan Xu, Jiangang Zhu, Ling Geng, Yang Yang, Bojia Lin, Daxin Jiang:
Learning to Generate Reformulation Actions for Scalable Conversational Query Understanding. CIKM 2020: 2269-2272 - [c41]Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang:
A Graph Representation of Semi-structured Data for Web Question Answering. COLING 2020: 51-61 - [c40]Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang:
Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation. COLING 2020: 2710-2721 - [c39]Huaishao Luo, Lei Ji, Tianrui Li, Daxin Jiang, Nan Duan:
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis. EMNLP (Findings) 2020: 54-64 - [c38]Chujie Zheng, Yunbo Cao, Daxin Jiang, Minlie Huang:
Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation. EMNLP (Findings) 2020: 115-125 - [c37]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. EMNLP (Findings) 2020: 1536-1547 - [c36]Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou:
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. EMNLP (1) 2020: 3895-3903 - [c35]Xuguang Wang, Linjun Shou, Ming Gong, Nan Duan, Daxin Jiang:
No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension. EMNLP (Findings) 2020: 4141-4150 - [c34]Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou:
XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. EMNLP (1) 2020: 6008-6018 - [c33]Dayiheng Liu, Yeyun Gong, Yu Yan, Jie Fu, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan:
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. EMNLP (1) 2020: 6241-6250 - [c32]Mucheng Ren, Xiubo Geng, Tao Qin, Heyan Huang, Daxin Jiang:
Towards Interpretable Reasoning over Paragraph Effects in Situation. EMNLP (1) 2020: 6745-6758 - [c31]Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang:
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. IJCAI 2020: 2227-2233 - [c30]Linjun Shou, Shining Bo, Feixiang Cheng, Ming Gong, Jian Pei, Daxin Jiang:
Mining Implicit Relevance Feedback from User Behavior for Web Question Answering. KDD 2020: 2931-2941 - [c29]Ping Nie, Yuyu Zhang, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang:
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. SIGIR 2020: 1829-1832 - [c28]Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang:
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System. WSDM 2020: 690-698 - [i37]Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou:
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. CoRR abs/2002.01808 (2020) - [i36]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. CoRR abs/2002.08155 (2020) - [i35]Yuyu Zhang, Ping Nie, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang:
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. CoRR abs/2002.12591 (2020) - [i34]Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Rangan Majumder, Ming Zhou:
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation. CoRR abs/2004.01401 (2020) - [i33]Daya Guo, Akari Asai, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Jian Yin, Ming Zhou:
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning. CoRR abs/2004.03070 (2020) - [i32]Dayiheng Liu,