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2020 – today
- 2021
[i153]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021)- [i152]Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao:
UnitedQA: A Hybrid Approach for Open Domain Question Answering. CoRR abs/2101.00178 (2021) - [i151]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Reader-Guided Passage Reranking for Open-Domain Question Answering. CoRR abs/2101.00294 (2021) - [i150]Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, Jianfeng Gao:
VinVL: Making Visual Representations Matter in Vision-Language Models. CoRR abs/2101.00529 (2021) - 2020
- [j18]Li Zhou, Jianfeng Gao, Di Li, Heung-Yeung Shum:
The Design and Implementation of XiaoIce, an Empathetic Social Chatbot. Comput. Linguistics 46(1): 53-93 (2020) - [j17]You Zhou
, Jianfeng Gao, Tamim Asfour:
Movement Primitive Learning and Generalization: Using Mixture Density Networks. IEEE Robotics Autom. Mag. 27(2): 22-32 (2020) - [j16]Fei Tan, Yiming Wang, Yiming Yang, Liran Li, Tian Wang, Feng Zhang, Xinghua Wang, Jianfeng Gao, Yongpan Liu:
A ReRAM-Based Computing-in-Memory Convolutional-Macro With Customized 2T2R Bit-Cell for AIoT Chip IP Applications. IEEE Trans. Circuits Syst. II Express Briefs 67-II(9): 1534-1538 (2020) - [j15]Minlie Huang, Xiaoyan Zhu, Jianfeng Gao:
Challenges in Building Intelligent Open-domain Dialog Systems. ACM Trans. Inf. Syst. 38(3): 21:1-21:32 (2020) - [c198]Yonatan Bisk, Rowan Zellers, Ronan LeBras, Jianfeng Gao, Yejin Choi:
PIQA: Reasoning about Physical Commonsense in Natural Language. AAAI 2020: 7432-7439 - [c197]Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig:
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. AAAI 2020: 7969-7976 - [c196]Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao:
Complementary Auxiliary Classifiers for Label-Conditional Text Generation. AAAI 2020: 8303-8310 - [c195]Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao:
Unified Vision-Language Pre-Training for Image Captioning and VQA. AAAI 2020: 13041-13049 - [c194]Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao:
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. ACL (demo) 2020: 118-126 - [c193]Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, Minlie Huang:
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. ACL (demo) 2020: 142-149 - [c192]Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, Bill Dolan:
DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation. ACL (demo) 2020: 270-278 - [c191]Swadheen Shukla, Lars Liden, Shahin Shayandeh, Eslam Kamal, Jinchao Li, Matt Mazzola, Thomas Park, Baolin Peng, Jianfeng Gao:
Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems. ACL (demo) 2020: 343-349 - [c190]Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao:
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization. ACL 2020: 2177-2190 - [c189]Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou:
MIND: A Large-scale Dataset for News Recommendation. ACL 2020: 3597-3606 - [c188]Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao:
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training. CVPR 2020: 13134-13143 - [c187]Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao:
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. ECCV (30) 2020: 121-137 - [c186]Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao:
Few-shot Natural Language Generation for Task-Oriented Dialog. EMNLP (Findings) 2020: 172-182 - [c185]Homero Roman Roman, Yonatan Bisk, Jesse Thomason, Asli Çelikyilmaz, Jianfeng Gao:
RMM: A Recursive Mental Model for Dialog Navigation. EMNLP (Findings) 2020: 1732-1745 - [c184]Ziming Li, Sungjin Lee, Baolin Peng, Jinchao Li, Julia Kiseleva, Maarten de Rijke, Shahin Shayandeh, Jianfeng Gao:
Guided Dialogue Policy Learning without Adversarial Learning in the Loop. EMNLP (Findings) 2020: 2308-2317 - [c183]Hannah Rashkin, Asli Çelikyilmaz, Yejin Choi, Jianfeng Gao:
PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking. EMNLP (1) 2020: 4274-4295 - [c182]Chunyuan Li, Xiang Gao, Yuan Li, Baolin Peng, Xiujun Li, Yizhe Zhang, Jianfeng Gao:
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. EMNLP (1) 2020: 4678-4699 - [c181]Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han:
Understanding the Difficulty of Training Transformers. EMNLP (1) 2020: 5747-5763 - [c180]Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han:
On the Variance of the Adaptive Learning Rate and Beyond. ICLR 2020 - [c179]Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin:
RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering. ICLR 2020 - [c178]Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Jianfeng Gao, Songhao Piao, Ming Zhou, Hsiao-Wuen Hon:
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. ICML 2020: 642-652 - [c177]Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao:
Mapping natural-language problems to formal-language solutions using structured neural representations. ICML 2020: 1566-1575 - [c176]Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen:
Feature Quantization Improves GAN Training. ICML 2020: 11376-11386 - [c175]Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao:
Sequential Attention GAN for Interactive Image Editing. ACM Multimedia 2020: 4383-4391 - [c174]Ryuichi Takanobu, Qi Zhu, Jinchao Li, Baolin Peng, Jianfeng Gao, Minlie Huang:
Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation. SIGdial 2020: 297-310 - [c173]Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul N. Bennett, Jianfeng Gao, Zhiyuan Liu:
Few-Shot Generative Conversational Query Rewriting. SIGIR 2020: 1933-1936 - [c172]Jianfeng Gao, Chenyan Xiong, Paul Bennett:
Recent Advances in Conversational Information Retrieval. SIGIR 2020: 2421-2424 - [i149]Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, Minlie Huang:
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. CoRR abs/2002.04793 (2020) - [i148]Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao:
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. CoRR abs/2002.07972 (2020) - [i147]Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao:
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training. CoRR abs/2002.10638 (2020) - [i146]Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao:
Few-shot Natural Language Generation for Task-Oriented Dialog. CoRR abs/2002.12328 (2020) - [i145]Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Songhao Piao, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon:
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. CoRR abs/2002.12804 (2020) - [i144]Qiaolin Xia, Xiujun Li, Chunyuan Li, Yonatan Bisk, Zhifang Sui, Jianfeng Gao, Yejin Choi, Noah A. Smith:
Multi-View Learning for Vision-and-Language Navigation. CoRR abs/2003.00857 (2020) - [i143]Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen:
Feature Quantization Improves GAN Training. CoRR abs/2004.02088 (2020) - [i142]Ziming Li, Sungjin Lee, Baolin Peng, Jinchao Li, Shahin Shayandeh, Jianfeng Gao:
Guided Dialog Policy Learning without Adversarial Learning in the Loop. CoRR abs/2004.03267 (2020) - [i141]Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao:
Deep Learning Based Text Classification: A Comprehensive Review. CoRR abs/2004.03705 (2020) - [i140]Chunyuan Li, Xiang Gao, Yuan Li, Xiujun Li, Baolin Peng, Yizhe Zhang, Jianfeng Gao:
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. CoRR abs/2004.04092 (2020) - [i139]Swadheen Shukla, Lars Liden, Shahin Shayandeh, Eslam Kamal, Jinchao Li, Matt Mazzola, Thomas Park, Baolin Peng, Jianfeng Gao:
Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems. CoRR abs/2004.04305 (2020) - [i138]Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao:
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. CoRR abs/2004.06165 (2020) - [i137]Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han:
Understanding the Difficulty of Training Transformers. CoRR abs/2004.08249 (2020) - [i136]Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao:
Adversarial Training for Large Neural Language Models. CoRR abs/2004.08994 (2020) - [i135]Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao:
Data Augmentation for Spoken Language Understanding via Pretrained Models. CoRR abs/2004.13952 (2020) - [i134]Hannah Rashkin, Asli Çelikyilmaz, Yejin Choi, Jianfeng Gao:
PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking. CoRR abs/2004.14967 (2020) - [i133]Jianfeng Gao, You Zhou, Tamim Asfour:
Learning Compliance Adaptation in Contact-Rich Manipulation. CoRR abs/2005.00227 (2020) - [i132]Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan:
A Controllable Model of Grounded Response Generation. CoRR abs/2005.00613 (2020) - [i131]Homero Roman Roman, Yonatan Bisk, Jesse Thomason, Asli Çelikyilmaz, Jianfeng Gao:
RMM: A Recursive Mental Model for Dialog Navigation. CoRR abs/2005.00728 (2020) - [i130]Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Jianfeng Gao:
SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model. CoRR abs/2005.05298 (2020) - [i129]Ryuichi Takanobu, Qi Zhu, Jinchao Li, Baolin Peng, Jianfeng Gao, Minlie Huang:
Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation. CoRR abs/2005.07362 (2020) - [i128]Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang:
Novel Human-Object Interaction Detection via Adversarial Domain Generalization. CoRR abs/2005.11406 (2020) - [i127]Haoyang Huang, Lin Su, Di Qi, Nan Duan, Edward Cui, Taroon Bharti, Lei Zhang, Lijuan Wang, Jianfeng Gao, Bei Liu, Jianlong Fu, Dongdong Zhang, Xin Liu, Ming Zhou:
M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training. CoRR abs/2006.02635 (2020) - [i126]Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen:
DeBERTa: Decoding-enhanced BERT with Disentangled Attention. CoRR abs/2006.03654 (2020) - [i125]Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul N. Bennett, Jianfeng Gao, Zhiyuan Liu:
Few-Shot Generative Conversational Query Rewriting. CoRR abs/2006.05009 (2020) - [i124]Asli Çelikyilmaz, Elizabeth Clark, Jianfeng Gao:
Evaluation of Text Generation: A Survey. CoRR abs/2006.14799 (2020) - [i123]Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing. CoRR abs/2007.15779 (2020) - [i122]Xiaodong Liu, Kevin Duh, Liyuan Liu, Jianfeng Gao:
Very Deep Transformers for Neural Machine Translation. CoRR abs/2008.07772 (2020) - [i121]Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji:
HittER: Hierarchical Transformers for Knowledge Graph Embeddings. CoRR abs/2008.12813 (2020) - [i120]Jianfeng Gao, Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Heung-Yeung Shum:
Robust Conversational AI with Grounded Text Generation. CoRR abs/2009.03457 (2020) - [i119]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Generation-Augmented Retrieval for Open-domain Question Answering. CoRR abs/2009.08553 (2020) - [i118]Xiaowei Hu, Xi Yin, Kevin Lin, Lijuan Wang, Lei Zhang, Jianfeng Gao, Zicheng Liu:
VIVO: Surpassing Human Performance in Novel Object Captioning with Visual Vocabulary Pre-Training. CoRR abs/2009.13682 (2020) - [i117]Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang:
MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. CoRR abs/2010.01424 (2020) - [i116]Hao Cheng, Xiaodong Liu, Lis Pereira, Yaoliang Yu, Jianfeng Gao:
Posterior Differential Regularization with f-divergence for Improving Model Robustness. CoRR abs/2010.12638 (2020) - [i115]Felix Faltings, Michel Galley, Gerold Hintz, Chris Brockett, Chris Quirk, Jianfeng Gao, Bill Dolan:
Text Editing by Command. CoRR abs/2010.12826 (2020) - [i114]Saadia Gabriel, Asli Çelikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao:
Go Figure! A Meta Evaluation of Factuality in Summarization. CoRR abs/2010.12834 (2020) - [i113]Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett:
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. CoRR abs/2011.01580 (2020) - [i112]R. Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür, Jinchao Li, Qi Zhu, Lingxiao Luo, Lars Liden, Kaili Huang, Shahin Shayandeh, Runze Liang, Baolin Peng, Zheng Zhang, Swadheen Shukla, Minlie Huang, Jianfeng Gao, Shikib Mehri, Yulan Feng, Carla Gordon, Seyed Hossein Alavi, David R. Traum, Maxine Eskénazi, Ahmad Beirami, Eunjoon Cho, Paul A. Crook, Ankita De, Alborz Geramifard, Satwik Kottur, Seungwhan Moon, Shivani Poddar, Rajen Subba:
Overview of the Ninth Dialog System Technology Challenge: DSTC9. CoRR abs/2011.06486 (2020) - [i111]Hassan Akbari, Hamid Palangi, Jianwei Yang, Sudha Rao, Asli Çelikyilmaz, Roland Fernandez, Paul Smolensky, Jianfeng Gao, Shih-Fu Chang:
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language. CoRR abs/2011.09530 (2020) - [i110]Jianfeng Wang, Xiaowei Hu, Pengchuan Zhang, Xiujun Li, Lijuan Wang, Lei Zhang, Jianfeng Gao, Zicheng Liu:
MiniVLM: A Smaller and Faster Vision-Language Model. CoRR abs/2012.06946 (2020) - [i109]Chunyuan Li, Xiujun Li, Lei Zhang, Baolin Peng, Mingyuan Zhou, Jianfeng Gao:
Self-supervised Pre-training with Hard Examples Improves Visual Representations. CoRR abs/2012.13493 (2020) - [i108]Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao:
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems. CoRR abs/2012.14666 (2020) - [i107]Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han:
Few-Shot Named Entity Recognition: A Comprehensive Study. CoRR abs/2012.14978 (2020)
2010 – 2019
- 2019
- [j14]Jianfeng Gao, Michel Galley, Lihong Li:
Neural Approaches to Conversational AI. Found. Trends Inf. Retr. 13(2-3): 127-298 (2019) - [c171]Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian M. Sadler, Huan Sun:
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning. AAAI 2019: 2547-2554 - [c170]Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang:
Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. AAAI 2019: 7289-7296 - [c169]Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Zheng Zhang, Yaoqin Zhang, Xiang Li, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao:
ConvLab: Multi-Domain End-to-End Dialog System Platform. ACL (3) 2019: 64-69 - [c168]Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon, Bill Dolan:
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling. ACL (3) 2019: 123-128 - [c167]Dinghan Shen, Asli Çelikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin:
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. ACL (1) 2019: 2079-2089 - [c166]Zhirui Zhang, Xiujun Li, Jianfeng Gao, Enhong Chen:
Budgeted Policy Learning for Task-Oriented Dialogue Systems. ACL (1) 2019: 3742-3751 - [c165]Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao:
Multi-Task Deep Neural Networks for Natural Language Understanding. ACL (1) 2019: 4487-4496 - [c164]Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao:
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading. ACL (1) 2019: 5427-5436 - [c163]Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao:
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog. ACL (1) 2019: 6463-6474 - [c162]Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao:
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain. BioNLP@ACL 2019: 399-405 - [c161]Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu:
A Hybrid Retrieval-Generation Neural Conversation Model. CIKM 2019: 1341-1350 - [c160]Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao:
StoryGAN: A Sequential Conditional GAN for Story Visualization. CVPR 2019: 6329-6338 - [c159]Xin Wang, Qiuyuan Huang, Asli Çelikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang:
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation. CVPR 2019: 6629-6638 - [c158]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. CVPR 2019: 6741-6749 - [c157]Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao:
Object-Driven Text-To-Image Synthesis via Adversarial Training. CVPR 2019: 12174-12182 - [c156]Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner, Jianfeng Gao:
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning. EMNLP/IJCNLP (1) 2019: 1475-1480 - [c155]Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Çelikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi:
Robust Navigation with Language Pretraining and Stochastic Sampling. EMNLP/IJCNLP (1) 2019: 1494-1499 - [c154]Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan:
Structuring Latent Spaces for Stylized Response Generation. EMNLP/IJCNLP (1) 2019: 1814-1823 - [c153]Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao:
TIGEr: Text-to-Image Grounding for Image Caption Evaluation. EMNLP/IJCNLP (1) 2019: 2141-2152 - [c152]Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang:
Adversarial Domain Adaptation for Machine Reading Comprehension. EMNLP/IJCNLP (1) 2019: 2510-2520 - [c151]Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen:
Implicit Deep Latent Variable Models for Text Generation. EMNLP/IJCNLP (1) 2019: 3944-3954 - [c150]Jianfeng Gao:
Towards an Open-Doman Dialog System. ICTIR 2019: 1-2 - [c149]You Zhou, Jianfeng Gao, Tamim Asfour:
Learning Via-Point Movement Primitives with Inter- and Extrapolation Capabilities. IROS 2019: 4301-4308 - [c148]Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Çelikyilmaz, Lawrence Carin:
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing. NAACL-HLT (1) 2019: 240-250 - [c147]Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang:
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. NAACL-HLT (1) 2019: 882-891 - [c146]Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan:
Jointly Optimizing Diversity and Relevance in Neural Response Generation. NAACL-HLT (1) 2019: 1229-1238 - [c145]Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao:
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension. NAACL-HLT (1) 2019: 2644-2655 - [c144]Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon:
Unified Language Model Pre-training for Natural Language Understanding and Generation. NeurIPS 2019: 13042-13054 - [i106]Koichiro Yoshino, Chiori Hori, Julien Perez, Luis Fernando D'Haro, Lazaros Polymenakos, R. Chulaka Gunasekara, Walter S. Lasecki, Jonathan K. Kummerfeld, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan, Xiang Gao, Huda AlAmri, Tim K. Marks, Devi Parikh, Dhruv Batra:
Dialog System Technology Challenge 7. CoRR abs/1901.03461 (2019) - [i105]Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao:
Multi-Task Deep Neural Networks for Natural Language Understanding. CoRR abs/1901.11504 (2019) - [i104]Dinghan Shen, Asli Çelikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin:
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. CoRR abs/1902.00154 (2019) - [i103]Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao:
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog. CoRR abs/1902.00579 (2019) - [i102]Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao:
Object-driven Text-to-Image Synthesis via Adversarial Training. CoRR abs/1902.10740 (2019) - [i101]Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan:
Jointly Optimizing Diversity and Relevance in Neural Response Generation. CoRR abs/1902.11205 (2019) - [i100]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation. CoRR abs/1903.02547 (2019) - [i99]Yizhe Zhang, Xiang Gao, Sungjin Lee, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan:
Consistent Dialogue Generation with Self-supervised Feature Learning. CoRR abs/1903.05759 (2019) - [i98]