Jianfeng Gao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
284
Venues
30
Active years
2000–2026
Best venue rank
A*
Where they publish
- A*ACL51 papers
- A*EMNLP47 papers
- A*ICLR27 papers
- ANAACL27 papers
- A*CVPR22 papers
- A*SIGIR15 papers
- A*AAAI14 papers
- BIJCNLP11 papers
- A*ICML10 papers
- MulticonferenceICASSP8 papers
- ACIKM7 papers
- A*ECCV6 papers
- AInterspeech6 papers
- BCOLING5 papers
- A*WWW4 papers
- A*ICCV3 papers
- AEACL3 papers
- BSIGdial3 papers
- A*ICRA2 papers
- AIROS2 papers
- A*KDD2 papers
- A*CHI1 paper
- A*IJCAI1 paper
- BCogSci1 paper
- BACCV1 paper
- UnrankedICTIR1 paper
- AWSDM1 paper
- A*ICDM1 paper
- AECIR1 paper
- CISNN1 paper
Papers
284 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | SynthAgent: Adapting Web Agents with Synthetic Supervision. | Zhaoyang Wang, Yiming Liang, Xuchao Zhang, Qianhui Wu, Siwei Han, Anson Bastos, Rujia Wang, Chetan Bansal, Baolin Peng, Jianfeng Gao, Saravan Rajmohan, Huaxiu Yao |
| 2025 | ACL | Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts. | Zeliang Zhang, Xiaodong Liu, Hao Cheng, Chenliang Xu, Jianfeng Gao |
| 2025 | CHI | Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way. | Chenglong Wang, Bongshin Lee, Steven Mark Drucker, Dan Marshall, Jianfeng Gao |
| 2025 | COLING | Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning. | Yanda Chen, Chandan Singh, Xiaodong Liu, Simiao Zuo, Bin Yu, He He, Jianfeng Gao |
| 2025 | CVPR | Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion. | Jiuhai Chen, Jianwei Yang, Haiping Wu, Dianqi Li, Jianfeng Gao, Tianyi Zhou, Bin Xiao |
| 2025 | CVPR | An Interactive Agent Foundation Model. | Zane Durante, Ran Gong, Bidipta Sarkar, Naoki Wake, Rohan Taori, Paul Tang, Shrinidhi Kowshika Lakshmikanth, Kevin A. Schulman, Arnold Milstein, Hoi Vo, Ehsan Adeli, Demetri Terzopoulos, Li Fei-Fei, Jianfeng Gao |
| 2025 | CVPR | Magma: A Foundation Model for Multimodal AI Agents. | Jianwei Yang, Reuben Tan, Qianhui Wu, Ruijie Zheng, Baolin Peng, Yongyuan Liang, Yu Gu, Mu Cai, Seonghyeon Ye, Joel Jang, Yuquan Deng, Jianfeng Gao |
| 2025 | EMNLP | SimulatorArena: Are User Simulators Reliable Proxies for Multi-Turn Evaluation of AI Assistants? | Yao Dou, Michel Galley, Baolin Peng, Chris Kedzie, Weixin Cai, Alan Ritter, Chris Quirk, Wei Xu, Jianfeng Gao |
| 2025 | ICCV | SITE: Towards Spatial Intelligence Thorough Evaluation. | Wenqi Wang, Reuben Tan, Pengyue Zhu, Jianwei Yang, Zhengyuan Yang, Lijuan Wang, Andrey Kolobov, Jianfeng Gao, Boqing Gong |
| 2025 | ICLR | ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning. | Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu |
| 2025 | ICLR | Matryoshka Multimodal Models. | Mu Cai, Jianwei Yang, Jianfeng Gao, Yong Jae Lee |
| 2025 | ICLR | Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass. | Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng |
| 2025 | ICLR | GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding. | Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Huichi Zhou, Qihui Zhang, Zhigang He, Yilin Bai, Chujie Gao, Liuyi Chen, Yiqiang Li, Chenlong Wang, Yue Yu, Tianshuo Zhou, Zhen Li, Yi Gui, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun |
| 2025 | ICLR | DataGen: Unified Synthetic Dataset Generation via Large Language Models. | Yue Huang, Siyuan Wu, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, Lichao Sun, Xiangliang Zhang |
| 2025 | ICLR | SCBench: A KV Cache-Centric Analysis of Long-Context Methods. | Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu |
| 2025 | ICLR | SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents. | Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao |
| 2025 | ICLR | Latent Action Pretraining from Videos. | Seonghyeon Ye, Joel Jang, Byeongguk Jeon, Se June Joo, Jianwei Yang, Baolin Peng, Ajay Mandlekar, Reuben Tan, Yu-Wei Chao, Bill Yuchen Lin, Lars Liden, Kimin Lee, Jianfeng Gao, Luke Zettlemoyer, Dieter Fox, Minjoon Seo |
| 2025 | ICLR | TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies. | Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daum III, Andrey Kolobov, Furong Huang, Jianwei Yang |
| 2025 | ICLR | Vector-ICL: In-context Learning with Continuous Vector Representations. | Yufan Zhuang, Chandan Singh, Liyuan Liu, Jingbo Shang, Jianfeng Gao |
| 2025 | ICML | MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention. | Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu |
| 2025 | ICML | CollabLLM: From Passive Responders to Active Collaborators. | Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, Jure Leskovec, Jianfeng Gao |
| 2025 | ICML | Simplifying DINO via Coding Rate Regularization. | Ziyang Wu, Jingyuan Zhang, Druv Pai, Xudong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma |
| 2025 | NAACL | Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities. | Chung-En Sun, Xiaodong Liu, Weiwei Yang, Tsui-Wei Weng, Hao Cheng, Aidan San, Michel Galley, Jianfeng Gao |
| 2024 | CVPR | Visual in-Context Prompting. | Feng Li, Qing Jiang, Hao Zhang, Tianhe Ren, Shilong Liu, Xueyan Zou, Huaizhe Xu, Hongyang Li, Jianwei Yang, Chunyuan Li, Lei Zhang, Jianfeng Gao |
| 2024 | EACL | Language Models as Inductive Reasoners. | Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei |
| 2024 | ECCV | Pix2Gif: Motion-Guided Diffusion for GIF Generation. | Hitesh Kandala, Jianfeng Gao, Jianwei Yang |
| 2024 | ECCV | LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents. | Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li |
| 2024 | ECCV | Segment and Recognize Anything at Any Granularity. | Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianwei Yang, Lei Zhang, Jianfeng Gao |
| 2024 | ECCV | LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models. | Hao Zhang, Hongyang Li, Feng Li, Tianhe Ren, Xueyan Zou, Shilong Liu, Shijia Huang, Jianfeng Gao, Leizhang, Chunyuan Li, Jainwei Yang |
| 2024 | EMNLP | SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading. | Tu Anh Dinh, Carlos Mullov, Leonard Brmann, Zhaolin Li, Danni Liu, Simon Rei, Jueun Lee, Nathan Lerzer, Jianfeng Gao, Fabian Peller-Konrad, Tobias Rddiger, Alexander Waibel, Tamim Asfour, Michael Beigl, Rainer Stiefelhagen, Carsten Dachsbacher, Klemens Bhm, Jan Niehues |
| 2024 | EMNLP | Toward Compositional Behavior in Neural Models: A Survey of Current Views. | Kate McCurdy, Paul Soulos, Paul Smolensky, Roland Fernandez, Jianfeng Gao |
| 2024 | ICLR | Fast-ELECTRA for Efficient Pre-training. | Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu |
| 2024 | ICLR | Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. | Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao |
| 2024 | ICLR | MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. | Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao |
| 2024 | ICLR | Is Self-Repair a Silver Bullet for Code Generation? | Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama |
| 2024 | ICLR | Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs. | Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao |
| 2024 | ICRA | Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks. | Jianfeng Gao, Xiaoshu Jin, Franziska Krebs, Nomie Jaquier, Tamim Asfour |
| 2024 | IROS | Visual Imitation Learning of Task-Oriented Object Grasping and Rearrangement. | Yichen Cai, Jianfeng Gao, Christoph Pohl, Tamim Asfour |
| 2024 | NAACL | MindAgent: Emergent Gaming Interaction. | Ran Gong, Qiuyuan Huang, Xiaojian Ma, Yusuke Noda, Zane Durante, Zilong Zheng, Demetri Terzopoulos, Li Fei-Fei, Jianfeng Gao, Hoi Vo |
| 2024 | NAACL | Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models. | Miaoran Li, Baolin Peng, Michel Galley, Jianfeng Gao, Zhu Zhang |
| 2024 | NAACL | ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks. | Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao |
| 2024 | NAACL | Teaching Language Models to Self-Improve through Interactive Demonstrations. | Xiao Yu, Baolin Peng, Michel Galley, Jianfeng Gao, Zhou Yu |
| 2023 | ACL | Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering. | Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao |
| 2023 | ACL | Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers. | Linyuan Gong, Chenyan Xiong, Xiaodong Liu, Payal Bajaj, Yiqing Xie, Alvin Cheung, Jianfeng Gao, Xia Song |
| 2023 | ACL | Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. | Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang |
| 2023 | ACL | AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation. | Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sbastien Bubeck, Jianfeng Gao |
| 2023 | ACL | DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization. | Yu Li, Baolin Peng, Pengcheng He, Michel Galley, Zhou Yu, Jianfeng Gao |
| 2023 | ACL | Chain-of-Skills: A Configurable Model for Open-Domain Question Answering. | Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, Jianfeng Gao |
| 2023 | ACL | Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models. | Borui Wang, Qiuyuan Huang, Budhaditya Deb, Aaron Halfaker, Liqun Shao, Daniel McDuff, Ahmed Hassan Awadallah, Dragomir Radev, Jianfeng Gao |
| 2023 | CVPR | GLIGEN: Open-Set Grounded Text-to-Image Generation. | Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee |
| 2023 | CVPR | Learning Customized Visual Models with Retrieval-Augmented Knowledge. | Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li |
| 2023 | CVPR | Generalized Decoding for Pixel, Image, and Language. | Xueyan Zou, Zi-Yi Dou, Jianwei Yang, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Harkirat Behl, Jianfeng Wang, Lu Yuan, Nanyun Peng, Lijuan Wang, Yong Jae Lee, Jianfeng Gao |
| 2023 | EMNLP | ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. | Qi Zhu, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Shutong Feng, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Gasic, Minlie Huang |
| 2023 | EMNLP | Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding. | Yu Zhang, Hao Cheng, Zhihong Shen, Xiaodong Liu, Ye-Yi Wang, Jianfeng Gao |
| 2023 | EMNLP | Interactive Text Generation. | Felix Faltings, Michel Galley, Kiant Brantley, Baolin Peng, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan |
| 2023 | EMNLP | Tree Prompting: Efficient Task Adaptation without Fine-Tuning. | Chandan Singh, John X. Morris, Alexander M. Rush, Jianfeng Gao, Yuntian Deng |
| 2023 | ICLR | Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. | Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon |
| 2023 | ICLR | DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing. | Pengcheng He, Jianfeng Gao, Weizhu Chen |
| 2023 | ICLR | Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions. | Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao |
| 2023 | ICLR | Visually-Augmented Language Modeling. | Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei |
| 2023 | ICML | Understand and Modularize Generator Optimization in ELECTRA-style Pretraining. | Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu |
| 2023 | ICML | Differentiable Tree Operations Promote Compositional Generalization. | Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao |
| 2023 | SIGdial | Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog. | Miaoran Li, Baolin Peng, Michel Galley, Jianfeng Gao, Zhu (Drew) Zhang |
| 2022 | AAAI | ValueNet: A New Dataset for Human Value Driven Dialogue System. | Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, Song-Chun Zhu |
| 2022 | AAAI | RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling. | Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan |
| 2022 | ACL | Open Domain Question Answering with A Unified Knowledge Interface. | Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao |
| 2022 | CVPR | WebQA: Multihop and Multimodal QA. | Yingshan Chang, Guihong Cao, Mridu Narang, Jianfeng Gao, Hisami Suzuki, Yonatan Bisk |
| 2022 | CVPR | Grounded Language-Image Pre-training. | Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao |
| 2022 | CVPR | Unified Contrastive Learning in Image-Text-Label Space. | Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao |
| 2022 | CVPR | RegionCLIP: Region-based Language-Image Pretraining. | Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao |
| 2022 | EMNLP | Knowledge-Rich Self-Supervision for Biomedical Entity Linking. | Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon |
| 2022 | EMNLP | Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. | Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao |
| 2022 | EMNLP | CodeExp: Explanatory Code Document Generation. | Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan |
| 2022 | EMNLP | Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge. | Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao |
| 2022 | EMNLP | AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning. | Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao |
| 2022 | ICLR | No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. | Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao |
| 2022 | ICLR | Efficient Self-supervised Vision Transformers for Representation Learning. | Chunyuan Li, Jianwei Yang, Pengchuan Zhang, Mei Gao, Bin Xiao, Xiyang Dai, Lu Yuan, Jianfeng Gao |
| 2022 | ICLR | Taming Sparsely Activated Transformer with Stochastic Experts. | Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Jianfeng Gao, Tuo Zhao |
| 2022 | IJCAI | Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. | Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang |
| 2022 | NAACL | KAT: A Knowledge Augmented Transformer for Vision-and-Language. | Liangke Gui, Borui Wang, Qiuyuan Huang, Alexander Hauptmann, Yonatan Bisk, Jianfeng Gao |
| 2022 | NAACL | Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation. | Yu Li, Baolin Peng, Yelong Shen, Yi Mao, Lars Liden, Zhou Yu, Jianfeng Gao |
| 2022 | NAACL | LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners. | Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Awadallah, Jianfeng Gao |
| 2022 | SIGdial | Toward Self-Learning End-to-End Task-oriented Dialog Systems. | Xiaoying Zhang, Baolin Peng, Jianfeng Gao, Helen Meng |
| 2021 | AAAI | VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning. | Xiaowei Hu, Xi Yin, Kevin Lin, Lei Zhang, Jianfeng Gao, Lijuan Wang, Zicheng Liu |
| 2021 | AAAI | Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. | Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao |
| 2021 | AAAI | A Controllable Model of Grounded Response Generation. | Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan |
| 2021 | ACL | UnitedQA: A Hybrid Approach for Open Domain Question Answering. | Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao |
| 2021 | ACL | GO FIGURE: A Meta Evaluation of Factuality in Summarization. | Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao |
| 2021 | ACL | Generation-Augmented Retrieval for Open-Domain Question Answering. | Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen |
| 2021 | ACL | Reader-Guided Passage Reranking for Open-Domain Question Answering. | Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen |
| 2021 | ACL | RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems. | Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao |
| 2021 | ACL | EmailSum: Abstractive Email Thread Summarization. | Shiyue Zhang, Asli Celikyilmaz, Jianfeng Gao, Mohit Bansal |
| 2021 | CogSci | Compositional processing emerges in neural networks solving math problems. | Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao |
| 2021 | CVPR | VinVL: Revisiting Visual Representations in Vision-Language Models. | Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, Jianfeng Gao |
| 2021 | EACL | Contrastive Multi-document Question Generation. | Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan |
| 2021 | EMNLP | NICE: Neural Image Commenting with Empathy. | Kezhen Chen, Qiuyuan Huang, Daniel McDuff, Xiang Gao, Hamid Palangi, Jianfeng Wang, Kenneth D. Forbus, Jianfeng Gao |
| 2021 | EMNLP | HittER: Hierarchical Transformers for Knowledge Graph Embeddings. | Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji |
| 2021 | EMNLP | Few-Shot Named Entity Recognition: An Empirical Baseline Study. | Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han |
| 2021 | EMNLP | Token-wise Curriculum Learning for Neural Machine Translation. | Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Tuo Zhao |
| 2021 | EMNLP | ARCH: Efficient Adversarial Regularized Training with Caching. | Simiao Zuo, Chen Liang, Haoming Jiang, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao |
| 2021 | EMNLP | Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach. | Simiao Zuo, Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Jianfeng Gao, Weizhu Chen, Tuo Zhao |
| 2021 | ICCV | TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment. | Jianwei Yang, Yonatan Bisk, Jianfeng Gao |
| 2021 | ICCV | Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding. | Pengchuan Zhang, Xiyang Dai, Jianwei Yang, Bin Xiao, Lu Yuan, Lei Zhang, Jianfeng Gao |
| 2021 | ICLR | Deberta: decoding-Enhanced Bert with Disentangled Attention. | Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen |
| 2021 | ICRA | The KIT Gripper: A Multi-Functional Gripper for Disassembly Tasks. | Cornelius Klas, Felix Hundhausen, Jianfeng Gao, Christian R. G. Dreher, Stefan Reither, You Zhou, Tamim Asfour |
| 2021 | Interspeech | Data Augmentation for Spoken Language Understanding via Pretrained Language Models. | Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao |
| 2021 | KDD | Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. | Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon |
| 2021 | NAACL | Posterior Differential Regularization with f-divergence for Improving Model Robustness. | Hao Cheng, Xiaodong Liu, Lis Pereira, Yaoliang Yu, Jianfeng Gao |
| 2021 | NAACL | Text Editing by Command. | Felix Faltings, Michel Galley, Gerold Hintz, Chris Brockett, Chris Quirk, Jianfeng Gao, Bill Dolan |
| 2021 | NAACL | Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. | Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao |
| 2021 | NAACL | Targeted Adversarial Training for Natural Language Understanding. | Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi |
| 2020 | AAAI | PIQA: Reasoning about Physical Commonsense in Natural Language. | Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi |
| 2020 | AAAI | What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. | Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig |
| 2020 | AAAI | Complementary Auxiliary Classifiers for Label-Conditional Text Generation. | Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao |
| 2020 | AAAI | Unified Vision-Language Pre-Training for Image Captioning and VQA. | Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao |
| 2020 | ACCV | MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. | Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang |
| 2020 | ACL | SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization. | Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao |
| 2020 | ACL | The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. | Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao |
| 2020 | ACL | Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems. | Swadheen Shukla, Lars Liden, Shahin Shayandeh, Eslam Kamal, Jinchao Li, Matt Mazzola, Thomas Park, Baolin Peng, Jianfeng Gao |
| 2020 | ACL | MIND: A Large-scale Dataset for News Recommendation. | Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou |
| 2020 | ACL | DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation. | Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, Bill Dolan |
| 2020 | ACL | ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. | Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, Minlie Huang |
| 2020 | CVPR | Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training. | Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao |
| 2020 | ECCV | Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. | Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao |
| 2020 | EMNLP | Guided Dialogue Policy Learning without Adversarial Learning in the Loop. | Ziming Li, Sungjin Lee, Baolin Peng, Jinchao Li, Julia Kiseleva, Maarten de Rijke, Shahin Shayandeh, Jianfeng Gao |
| 2020 | EMNLP | Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. | Chunyuan Li, Xiang Gao, Yuan Li, Baolin Peng, Xiujun Li, Yizhe Zhang, Jianfeng Gao |
| 2020 | EMNLP | Understanding the Difficulty of Training Transformers. | Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han |
| 2020 | EMNLP | Few-shot Natural Language Generation for Task-Oriented Dialog. | Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao |
| 2020 | EMNLP | PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking. | Hannah Rashkin, Asli Celikyilmaz, Yejin Choi, Jianfeng Gao |
| 2020 | EMNLP | RMM: A Recursive Mental Model for Dialog Navigation. | Homero Roman Roman, Yonatan Bisk, Jesse Thomason, Asli Celikyilmaz, Jianfeng Gao |
| 2020 | ICLR | On the Variance of the Adaptive Learning Rate and Beyond. | Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han |
| 2020 | ICLR | RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering. | Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin |
| 2020 | ICML | UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. | Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Jianfeng Gao, Songhao Piao, Ming Zhou, Hsiao-Wuen Hon |
| 2020 | ICML | Mapping natural-language problems to formal-language solutions using structured neural representations. | Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao |
| 2020 | ICML | Feature Quantization Improves GAN Training. | Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen |
| 2020 | SIGIR | Recent Advances in Conversational Information Retrieval. | Jianfeng Gao, Chenyan Xiong, Paul Bennett |
| 2020 | SIGIR | Few-Shot Generative Conversational Query Rewriting. | Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul N. Bennett, Jianfeng Gao, Zhiyuan Liu |
| 2020 | SIGdial | Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation. | Ryuichi Takanobu, Qi Zhu, Jinchao Li, Baolin Peng, Jianfeng Gao, Minlie Huang |
| 2019 | AAAI | Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. | Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang |
| 2019 | AAAI | Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning. | Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian M. Sadler, Huan Sun |
| 2019 | ACL | Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog. | Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao |
| 2019 | ACL | ConvLab: Multi-Domain End-to-End Dialog System Platform. | Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Zheng Zhang, Yaoqin Zhang, Xiang Li, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao |
| 2019 | ACL | Multi-Task Deep Neural Networks for Natural Language Understanding. | Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao |
| 2019 | ACL | Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading. | Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao |
| 2019 | ACL | Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. | Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin |
| 2019 | ACL | Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling. | 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 |
| 2019 | ACL | Budgeted Policy Learning for Task-Oriented Dialogue Systems. | Zhirui Zhang, Xiujun Li, Jianfeng Gao, Enhong Chen |
| 2019 | CIKM | A Hybrid Retrieval-Generation Neural Conversation Model. | Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu |
| 2019 | CVPR | Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. | Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa |
| 2019 | CVPR | StoryGAN: A Sequential Conditional GAN for Story Visualization. | Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao |
| 2019 | CVPR | Object-Driven Text-To-Image Synthesis via Adversarial Training. | Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao |
| 2019 | CVPR | Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation. | Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang |
| 2019 | EMNLP | Implicit Deep Latent Variable Models for Text Generation. | Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen |
| 2019 | EMNLP | Structuring Latent Spaces for Stylized Response Generation. | Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan |
| 2019 | EMNLP | REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning. | Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner, Jianfeng Gao |
| 2019 | EMNLP | TIGEr: Text-to-Image Grounding for Image Caption Evaluation. | Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao |
| 2019 | EMNLP | Robust Navigation with Language Pretraining and Stochastic Sampling. | Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi |
| 2019 | EMNLP | Adversarial Domain Adaptation for Machine Reading Comprehension. | Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang |
| 2019 | IROS | Learning Via-Point Movement Primitives with Inter- and Extrapolation Capabilities. | You Zhou, Jianfeng Gao, Tamim Asfour |
| 2019 | ICTIR | Towards an Open-Doman Dialog System. | Jianfeng Gao |
| 2019 | NAACL | Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing. | Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin |
| 2019 | NAACL | Jointly Optimizing Diversity and Relevance in Neural Response Generation. | Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan |
| 2019 | NAACL | Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. | Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang |
| 2019 | NAACL | Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension. | Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao |
| 2018 | AAAI | A Knowledge-Grounded Neural Conversation Model. | Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley |
| 2018 | AAAI | BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems. | Zachary C. Lipton, Xiujun Li, Jianfeng Gao, Lihong Li, Faisal Ahmed, Li Deng |
| 2018 | ACL | Stochastic Answer Networks for Machine Reading Comprehension. | Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao |
| 2018 | ACL | Neural Approaches to Conversational AI. | Jianfeng Gao, Michel Galley, Lihong Li |
| 2018 | ACL | Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning. | Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Kam-Fai Wong |
| 2018 | CVPR | Language-Based Image Editing With Recurrent Attentive Models. | Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu |
| 2018 | EMNLP | Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning. | Shang-Yu Su, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen |
| 2018 | EMNLP | Subgoal Discovery for Hierarchical Dialogue Policy Learning. | Da Tang, Xiujun Li, Jianfeng Gao, Chong Wang, Lihong Li, Tony Jebara |
| 2018 | ICASSP | Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning. | Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen, Kam-Fai Wong |
| 2018 | ICLR | ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. | Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao |
| 2018 | NAACL | Discourse-Aware Neural Rewards for Coherent Text Generation. | Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi |
| 2018 | SIGIR | Neural Approaches to Conversational AI. | Jianfeng Gao, Michel Galley, Lihong Li |
| 2017 | ACL | Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access. | Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed, Li Deng |
| 2017 | ACL | A Nested Attention Neural Hybrid Model for Grammatical Error Correction. | Jianshu Ji, Qinlong Wang, Kristina Toutanova, Yongen Gong, Steven Truong, Jianfeng Gao |
| 2017 | CIKM | Deep Context Modeling for Web Query Entity Disambiguation. | Zhen Liao, Xinying Song, Yelong Shen, Saekoo Lee, Jianfeng Gao, Ciya Liao |
| 2017 | CVPR | StyleNet: Generating Attractive Visual Captions with Styles. | Chuang Gan, Zhe Gan, Xiaodong He, Jianfeng Gao, Li Deng |
| 2017 | CVPR | Semantic Compositional Networks for Visual Captioning. | Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng |
| 2017 | EMNLP | Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning. | Baolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Celikyilmaz, Sungjin Lee, Kam-Fai Wong |
| 2017 | ICASSP | Character-level deep conflation for business data analytics. | Zhe Gan, P. D. Singh, Ameet Joshi, Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng |
| 2017 | ICASSP | End-to-end joint learning of natural language understanding and dialogue manager. | Xuesong Yang, Yun-Nung Chen, Dilek Hakkani-Tr, Paul A. Crook, Xiujun Li, Jianfeng Gao, Li Deng |
| 2017 | ICLR | TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency. | Adji B. Dieng, Chong Wang, Jianfeng Gao, John W. Paisley |
| 2017 | IJCNLP | Open-Domain Neural Dialogue Systems. | Yun-Nung Chen, Jianfeng Gao |
| 2017 | IJCNLP | End-to-End Task-Completion Neural Dialogue Systems. | Xiujun Li, Yun-Nung Chen, Lihong Li, Jianfeng Gao, Asli Celikyilmaz |
| 2017 | IJCNLP | Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models. | Yi Luan, Chris Brockett, Bill Dolan, Jianfeng Gao, Michel Galley |
| 2017 | IJCNLP | Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation. | Nasrin Mostafazadeh, Chris Brockett, Bill Dolan, Michel Galley, Jianfeng Gao, Georgios P. Spithourakis, Lucy Vanderwende |
| 2017 | IJCNLP | An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks. | Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao |
| 2017 | KDD | ReasoNet: Learning to Stop Reading in Machine Comprehension. | Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen |
| 2016 | ACL | Deep Reinforcement Learning with a Natural Language Action Space. | Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf |
| 2016 | ACL | A Persona-Based Neural Conversation Model. | Jiwei Li, Michel Galley, Chris Brockett, Georgios P. Spithourakis, Jianfeng Gao, William B. Dolan |
| 2016 | CVPR | Stacked Attention Networks for Image Question Answering. | Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alexander J. Smola |
| 2016 | ECCV | MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition. | Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, Jianfeng Gao |
| 2016 | EMNLP | Bi-directional Attention with Agreement for Dependency Parsing. | Hao Cheng, Hao Fang, Xiaodong He, Jianfeng Gao, Li Deng |
| 2016 | EMNLP | Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads. | Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng |
| 2016 | EMNLP | Deep Reinforcement Learning for Dialogue Generation. | Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, Jianfeng Gao |
| 2016 | ICASSP | Interpreting the prediction process of a deep network constructed from supervised topic models. | Jianshu Chen, Ji He, Xiaodong He, Lin Xiao, Jianfeng Gao, Li Deng |
| 2016 | Interspeech | End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Language Understanding. | Yun-Nung Chen, Dilek Hakkani-Tr, Gkhan Tr, Jianfeng Gao, Li Deng |
| 2016 | Interspeech | Multi-Domain Joint Semantic Frame Parsing Using Bi-Directional RNN-LSTM. | Dilek Hakkani-Tr, Gkhan Tr, Asli Celikyilmaz, Yun-Nung Chen, Jianfeng Gao, Li Deng, Ye-Yi Wang |
| 2016 | NAACL | A Diversity-Promoting Objective Function for Neural Conversation Models. | Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan |
| 2016 | SIGIR | Learning for Efficient Supervised Query Expansion via Two-stage Feature Selection. | Zhiwei Zhang, Qifan Wang, Luo Si, Jianfeng Gao |
| 2016 | WSDM | Query Understanding for Search on All Devices at WSDM 2016. | Amit Goyal, Jianfeng Gao, Hongbo Deng, Yi Chang |
| 2015 | ACL | deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. | Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan |
| 2015 | ACL | Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base. | Wen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao |
| 2015 | CVPR | From captions to visual concepts and back. | Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollr, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig |
| 2015 | ICDM | A Deep Embedding Model for Co-occurrence Learning. | Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng |
| 2015 | NAACL | Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval. | Xiaodong Liu, Jianfeng Gao, Xiaodong He, Li Deng, Kevin Duh, Ye-Yi Wang |
| 2015 | NAACL | A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. | Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan |
| 2015 | NAACL | Deep Learning and Continuous Representations for Natural Language Processing. | Wen-tau Yih, Xiaodong He, Jianfeng Gao |
| 2014 | AAAI | Online Classification Using a Voted RDA Method. | Tianbing Xu, Jianfeng Gao, Lin Xiao, Amelia C. Regan |
| 2014 | ACL | Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models. | Michael Auli, Jianfeng Gao |
| 2014 | ACL | Learning Continuous Phrase Representations for Translation Modeling. | Jianfeng Gao, Xiaodong He, Wen-tau Yih, Li Deng |
| 2014 | CIKM | A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval. | Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grgoire Mesnil |
| 2014 | EACL | Minimum Translation Modeling with Recurrent Neural Networks. | Yuening Hu, Michael Auli, Qin Gao, Jianfeng Gao |
| 2014 | EMNLP | Large-scale Expected BLEU Training of Phrase-based Reordering Models. | Michael Auli, Michel Galley, Jianfeng Gao |
| 2014 | EMNLP | Modeling Interestingness with Deep Neural Networks. | Jianfeng Gao, Patrick Pantel, Michael Gamon, Xiaodong He, Li Deng |
| 2014 | WWW | Learning semantic representations using convolutional neural networks for web search. | Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grgoire Mesnil |
| 2013 | CIKM | Learning deep structured semantic models for web search using clickthrough data. | Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, Larry P. Heck |
| 2013 | ICASSP | Deep stacking networks for information retrieval. | Li Deng, Xiaodong He, Jianfeng Gao |
| 2013 | ICASSP | End-to-end learning of parsing models for information retrieval. | Jennifer Gillenwater, Xiaodong He, Jianfeng Gao, Li Deng |
| 2013 | NAACL | Training MRF-Based Phrase Translation Models using Gradient Ascent. | Jianfeng Gao, Xiaodong He |
| 2013 | NAACL | Beyond Left-to-Right: Multiple Decomposition Structures for SMT. | Hui Zhang, Kristina Toutanova, Chris Quirk, Jianfeng Gao |
| 2013 | SIGIR | Query expansion using path-constrained random walks. | Jianfeng Gao, Gu Xu, Jinxi Xu |
| 2013 | SIGIR | Modeling click-through based word-pairs for web search. | Jagadeesh Jagarlamudi, Jianfeng Gao |
| 2012 | EMNLP | Learning Lexicon Models from Search Logs for Query Expansion. | Jianfeng Gao, Shasha Xie, Xiaodong He, Alnur Ali |
| 2012 | EMNLP | A Unified Approach to Transliteration-based Text Input with Online Spelling Correction. | Hisami Suzuki, Jianfeng Gao |
| 2012 | NAACL | MSR SPLAT, a language analysis toolkit. | Chris Quirk, Pallavi Choudhury, Jianfeng Gao, Hisami Suzuki, Kristina Toutanova, Michael Gamon, Wen-tau Yih, Colin Cherry, Lucy Vanderwende |
| 2012 | WWW | Modeling click-through based word-pairs for web search. | Jagadeesh Jagarlamudi, Jianfeng Gao |
| 2011 | EMNLP | Domain Adaptation via Pseudo In-Domain Data Selection. | Amittai Axelrod, Xiaodong He, Jianfeng Gao |
| 2011 | SIGIR | Clickthrough-based latent semantic models for web search. | Jianfeng Gao, Kristina Toutanova, Wen-tau Yih |
| 2010 | ACL | Learning Phrase-Based Spelling Error Models from Clickthrough Data. | Xu Sun, Jianfeng Gao, Daniel Micol, Chris Quirk |
| 2010 | CIKM | Clickthrough-based translation models for web search: from word models to phrase models. | Jianfeng Gao, Xiaodong He, Jian-Yun Nie |
| 2010 | COLING | A comparison of unsupervised methods for Part-of-Speech Tagging in Chinese. | Alex Cheng, Fei Xia, Jianfeng Gao |
| 2010 | COLING | A Large Scale Ranker-Based System for Search Query Spelling Correction. | Jianfeng Gao, Xiaolong Li, Daniel Micol, Chris Quirk, Xu Sun |
| 2010 | WWW | Exploring web scale language models for search query processing. | Jian Huang, Jianfeng Gao, Jiangbo Miao, Xiaolong Li, Kuansan Wang, Fritz Behr, C. Lee Giles |
| 2010 | WWW | Optimizing two stage bigram language models for IR. | Sara Javanmardi, Jianfeng Gao, Kuansan Wang |
| 2010 | SIGIR | Multi-style language model for web scale information retrieval. | Kuansan Wang, Xiaolong Li, Jianfeng Gao |
| 2009 | EMNLP | Model Adaptation via Model Interpolation and Boosting for Web Search Ranking. | Jianfeng Gao, Qiang Wu, Chris Burges, Krysta M. Svore, Yi Su, Nazan Khan, Shalin Shah, Hongyan Zhou |
| 2009 | EMNLP | Discovery of Term Variation in Japanese Web Search Queries. | Hisami Suzuki, Xiao Li, Jianfeng Gao |
| 2009 | SIGIR | Smoothing clickthrough data for web search ranking. | Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian-Yun Nie |
| 2008 | COLING | Bayesian Semi-Supervised Chinese Word Segmentation for Statistical Machine Translation. | Jia Xu, Jianfeng Gao, Kristina Toutanova, Hermann Ney |
| 2008 | EMNLP | A comparison of Bayesian estimators for unsupervised Hidden Markov Model POS taggers. | Jianfeng Gao, Mark Johnson |
| 2008 | EMNLP | Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems. | Xiaodong He, Mei Yang, Jianfeng Gao, Patrick Nguyen, Robert Moore |
| 2008 | IJCNLP | Using Contextual Speller Techniques and Language Modeling for ESL Error Correction. | Michael Gamon, Jianfeng Gao, Chris Brockett, Alexandre Klementiev, William B. Dolan, Dmitriy Belenko, Lucy Vanderwende |
| 2008 | IJCNLP | A Web-based English Proofing System for English as a Second Language Users. | Xing Yi, Jianfeng Gao, William B. Dolan |
| 2008 | SIGIR | Selecting good expansion terms for pseudo-relevance feedback. | Guihong Cao, Jian-Yun Nie, Jianfeng Gao, Stephen Robertson |
| 2007 | ACL | A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing. | Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina Toutanova |
| 2007 | CIKM | Extending query translation to cross-language query expansion with markov chain models. | Guihong Cao, Jianfeng Gao, Jian-Yun Nie, Jing Bai |
| 2007 | EMNLP | Compressing Trigram Language Models With Golomb Coding. | Kenneth Church, Ted Hart, Jianfeng Gao |
| 2007 | ICML | Scalable training of L | Galen Andrew, Jianfeng Gao |
| 2006 | ACL | Approximation Lasso Methods for Language Modeling. | Jianfeng Gao, Hisami Suzuki, Bin Yu |
| 2006 | ACL | A DOM Tree Alignment Model for Mining Parallel Data from the Web. | Lei Shi, Cheng Niu, Ming Zhou, Jianfeng Gao |
| 2006 | ECIR | Automatic Acquisition of Chinese-English Parallel Corpus from the Web. | Ying Zhang, Ke Wu, Jianfeng Gao, Phil Vines |
| 2006 | ICASSP | A Comparative Study of Discriminative Methods for Reranking LVCSR N-Best Hypotheses in Domain Adaptation and Generalization. | Zhengyu Zhou, Jianfeng Gao, Frank K. Soong, Helen Meng |
| 2006 | NAACL | An Information-Theoretic Approach to Automatic Evaluation of Summaries. | Chin-Yew Lin, Guihong Cao, Jianfeng Gao, Jian-Yun Nie |
| 2006 | SIGIR | A study of statistical models for query translation: finding a good unit of translation. | Jianfeng Gao, Jian-Yun Nie |
| 2005 | CIKM | Person resolution in person search results: WebHawk. | Xiaojun Wan, Jianfeng Gao, Mu Li, Binggong Ding |
| 2005 | IJCNLP | An Empirical Study on Language Model Adaptation Using a Metric of Domain Similarity. | Wei Yuan, Jianfeng Gao, Hisami Suzuki |
| 2005 | IJCNLP | Transformation Based Chinese Entity Detection and Tracking. | Yaqian Zhou, Changning Huang, Jianfeng Gao, Lide Wu |
| 2005 | NAACL | Minimum Sample Risk Methods for Language Modeling. | Jianfeng Gao, Hao Yu, Wei Yuan, Peng Xu |
| 2005 | NAACL | A Comparative Study on Language Model Adaptation Techniques Using New Evaluation Metrics. | Hisami Suzuki, Jianfeng Gao |
| 2005 | SIGIR | Linear discriminant model for information retrieval. | Jianfeng Gao, Haoliang Qi, Xinsong Xia, Jian-Yun Nie |
| 2004 | ACL | Adaptive Chinese Word Segmentation. | Jianfeng Gao, Andi Wu, Cheng-Ning Huang, Hongqiao Li, Xinsong Xia, Hauwei Qin |
| 2004 | IJCNLP | Long Distance Dependency in Language Modeling: An Empirical Study. | Jianfeng Gao, Hisami Suzuki |
| 2004 | IJCNLP | The Use of SVM for Chinese New Word Identification. | Hongqiao Li, Changning Huang, Jianfeng Gao, Xiaozhong Fan |
| 2004 | ISNN | LMS Adaptive Notch Filter Design Based on Immune Algorithm. | Xiaoping Chen, Jianfeng Gao |
| 2004 | SIGIR | Dependence language model for information retrieval. | Jianfeng Gao, Jian-Yun Nie, Guangyuan Wu, Guihong Cao |
| 2003 | ACL | Improved Source-Channel Models for Chinese Word Segmentation. | Jianfeng Gao, Mu Li, Changning Huang |
| 2003 | ACL | Unsupervised Learning of Dependency Structure for Language Modeling. | Jianfeng Gao, Hisami Suzuki |
| 2003 | Interspeech | Training data optimization for language model adaptation. | Xiaoshan Fang, Jianfeng Gao, Jianfeng Li, Huanye Sheng |
| 2002 | ACL | Exploring Asymmetric Clustering for Statistical Language Modeling. | Jianfeng Gao, Joshua Goodman, Guihong Cao, Hang Li |
| 2002 | ACL | Improving Language Model Size Reduction using Better Pruning Criteria. | Jianfeng Gao, Min Zhang |
| 2002 | COLING | Chinese Named Entity Identification Using Class-based Language Model. | Jian Sun, Jianfeng Gao, Lei Zhang, Ming Zhou, Changning Huang |
| 2002 | EMNLP | Exploiting Headword Dependency and Predictive Clustering for Language Modeling. | Jianfeng Gao, Hisami Suzuki, Yang Wen |
| 2002 | SIGIR | Resolving query translation ambiguity using a decaying co-occurrence model and syntactic dependence relations. | Jianfeng Gao, Ming Zhou, Jian-Yun Nie, Hongzhao He, Weijun Chen |
| 2001 | SIGIR | Improving Query Translation for Cross-Language Information Retrieval Using Statistical Models. | Jianfeng Gao, Endong Xun, Ming Zhou, Changning Huang, Jian-Yun Nie, Jian Zhang |
| 2000 | ACL | Distribution-Based Pruning of Backoff Language Models. | Jianfeng Gao, Kai-Fu Lee |
| 2000 | ACL | PENS: A Machine-aided English Writing System for Chinese Users. | Ting Liu, Ming Zhou, Jianfeng Gao, Endong Xun, Changning Huang |
| 2000 | ICASSP | A unified approach to statistical language modeling for Chinese. | Jianfeng Gao, Haifeng Wang, Mingjing Li, Kai-Fu Lee |
| 2000 | Interspeech | N-gram distribution based language model adaptation. | Jianfeng Gao, Mingjing Li, Kai-Fu Lee |
| 2000 | Interspeech | Language model size reduction by pruning and clustering. | Joshua Goodman, Jianfeng Gao |