Jianfeng Gao

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 490

Top Venues

Publications

Shervin Minaee, Tomás Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, Jianfeng Gao
Large Language Models: A Survey. CoRR (2024)
Tarun Gupta, Wenbo Gong, Chao Ma, Nick Pawlowski, Agrin Hilmkil, Meyer Scetbon, Ade Famoti, Ashley Juan Llorens, Jianfeng Gao, Stefan Bauer, Danica Kragic, Bernhard Schölkopf, Cheng Zhang
The Essential Role of Causality in Foundation World Models for Embodied AI. CoRR (2024)
Chandan Singh, Jeevana Priya Inala, Michel Galley, Rich Caruana, Jianfeng Gao
Rethinking Interpretability in the Era of Large Language Models. CoRR (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, 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, John 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, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Yanda Chen, Chandan Singh, Xiaodong Liu, Simiao Zuo, Bin Yu, He He, Jianfeng Gao
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning. CoRR (2024)
Zane Durante, Qiuyuan Huang, Naoki Wake, Ran Gong, Jae Sung Park, Bidipta Sarkar, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Yejin Choi, Katsushi Ikeuchi, Hoi Vo, Li Fei-Fei, Jianfeng Gao
Agent AI: Surveying the Horizons of Multimodal Interaction. CoRR (2024)
Zane Durante, Bidipta Sarkar, Ran Gong, Rohan Taori, Yusuke Noda, Paul Tang, Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin A. Schulman, Arnold Milstein, Demetri Terzopoulos, Ade Famoti, Noboru Kuno, Ashley Llorens, Hoi Vo, Katsushi Ikeuchi, Li Fei-Fei, Jianfeng Gao, Naoki Wake, Qiuyuan Huang
An Interactive Agent Foundation Model. CoRR (2024)
Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao
Learning a Decision Tree Algorithm with Transformers. CoRR (2024)
Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. NeurIPS (2023)
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
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents. CoRR (2023)
Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. ACL (1) (2023)
Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao
Differentiable Tree Operations Promote Compositional Generalization. ICML (2023)
Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. CoRR (2023)
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, Yong Jae Lee
Segment Everything Everywhere All at Once. NeurIPS (2023)
Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan
Guiding Large Language Models via Directional Stimulus Prompting. CoRR (2023)
Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li
Learning Customized Visual Models with Retrieval-Augmented Knowledge. CoRR (2023)
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
Generalized Decoding for Pixel, Image, and Language. CVPR (2023)
Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianfeng Gao, Jianwei Yang, Lei Zhang
A Simple Framework for Open-Vocabulary Segmentation and Detection. CoRR (2023)
Yan Huang, Kaihua Cao, Kun Zhang, Jinkai Wang, Kewen Shi, Zuolei Hao, Wenlong Cai, Ao Du, Jialiang Yin, Qing Yang, Junfeng Li, Jianfeng Gao, Chao Zhao, Weisheng Zhao
Implementation of 16 Boolean logic operations based on one basic cell of spin-transfer-torque magnetic random access memory. Sci. China Inf. Sci. 66 (6) (2023)
Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
Fast-ELECTRA for Efficient Pre-training. CoRR (2023)
Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
Augmenting Language Models with Long-Term Memory. NeurIPS (2023)
Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. ICLR (2023)
Yaxin Ding, Jianguo Yang, Yu Liu, Jianfeng Gao, Yuan Wang, Pengfei Jiang, Shuxian Lv, Yuting Chen, Boping Wang, Wei Wei, Tiancheng Gong, Kanhao Xue, Qing Luo, Xiangshui Miao, Ming Liu
16-layer 3D Vertical RRAM with Low Read Latency (18ns), High Nonlinearity (>5000) and Ultra-low Leakage Current (~pA) Self-Selective Cells. VLSI Technology and Circuits (2023)
Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
Augmenting Language Models with Long-Term Memory. CoRR (2023)
Jianfeng Gao, Zhi Tao, Noémie Jaquier, Tamim Asfour
K-VIL: Keypoints-Based Visual Imitation Learning. IEEE Trans. Robotics 39 (5) (2023)
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models. CoRR (2023)
Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu, Jianwei Yang, Chunyuan Li, Lei Zhang, Jianfeng Gao
Semantic-SAM: Segment and Recognize Anything at Any Granularity. CoRR (2023)
Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee
GLIGEN: Open-Set Grounded Text-to-Image Generation. CoRR (2023)
Linyuan Gong, Chenyan Xiong, Xiaodong Liu, Payal Bajaj, Yiqing Xie, Alvin Cheung, Jianfeng Gao, Xia Song
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers. ACL (1) (2023)
Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. CoRR (2023)
Sanxing Chen, Hao Cheng, Xiaodong Liu, Jian Jiao, Yangfeng Ji, Jianfeng Gao
Pre-training Transformers for Knowledge Graph Completion. CoRR (2023)
Feng Li, Qing Jiang, Hao Zhang, Tianhe Ren, Shilong Liu, Xueyan Zou, Huaizhe Xu, Hongyang Li, Chunyuan Li, Jianwei Yang, Lei Zhang, Jianfeng Gao
Visual In-Context Prompting. CoRR (2023)
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. NeurIPS (2023)
Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee
GLIGEN: Open-Set Grounded Text-to-Image Generation. CVPR (2023)
Wei-Ge Chen, Irina Spiridonova, Jianwei Yang, Jianfeng Gao, Chunyuan Li
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing. CoRR (2023)
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
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. EMNLP (Demos) (2023)
Hao Zhang, Hongyang Li, Feng Li, Tianhe Ren, Xueyan Zou, Shilong Liu, Shijia Huang, Jianfeng Gao, Lei Zhang, Chunyuan Li, Jianwei Yang
LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models. CoRR (2023)
Felix Faltings, Michel Galley, Kianté Brantley, Baolin Peng, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan
Interactive Text Generation. EMNLP (2023)
Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao
Automatic Hallucination Assessment for Aligned Large Language Models via Transferable Adversarial Attacks. CoRR (2023)
Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining. ICML (2023)
Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, Jianfeng Gao
Chain-of-Skills: A Configurable Model for Open-Domain Question Answering. ACL (1) (2023)
Qiuyuan Huang, Jae Sung Park, Abhinav Gupta, Paul N. Bennett, Ran Gong, Subhojit Som, Baolin Peng, Owais Khan Mohammed, Chris Pal, Yejin Choi, Jianfeng Gao
ArK: Augmented Reality with Knowledge Interactive Emergent Ability. CoRR (2023)
Pengcheng He, Jianfeng Gao, Weizhu Chen
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing. ICLR (2023)
Ran Gong, Qiuyuan Huang, Xiaojian Ma, Hoi Vo, Zane Durante, Yusuke Noda, Zilong Zheng, Song-Chun Zhu, Demetri Terzopoulos, Li Fei-Fei, Jianfeng Gao
MindAgent: Emergent Gaming Interaction. CoRR (2023)
Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan
Guiding Large Language Models via Directional Stimulus Prompting. NeurIPS (2023)
Liyuan Liu, Jianfeng Gao, Weizhu Chen
Sparse Backpropagation for MoE Training. CoRR (2023)
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. CoRR (2023)
Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
Bridging Discrete and Backpropagation: Straight-Through and Beyond. NeurIPS (2023)
Baolin Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback. CoRR (2023)
Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions. ICLR (2023)
John X. Morris, Chandan Singh, Alexander M. Rush, Jianfeng Gao, Yuntian Deng
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. CoRR (2023)
Borui Wang, Qiuyuan Huang, Budhaditya Deb, Aaron Halfaker, Liqun Shao, Daniel McDuff, Ahmed Hassan Awadallah, Dragomir Radev, Jianfeng Gao
Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models. ACL (Findings) (2023)
Chandan Singh, Aliyah R. Hsu, Richard Antonello, Shailee Jain, Alexander G. Huth, Bin Yu, Jianfeng Gao
Explaining black box text modules in natural language with language models. CoRR (2023)
Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama
Demystifying GPT Self-Repair for Code Generation. CoRR (2023)
Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sébastien Bubeck, Jianfeng Gao
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation. ACL (Findings) (2023)
Tiancheng Gong, Lihua Xu, Wei Wei, Pengfei Jiang, Peng Yuan, Bowen Nie, Yuanquan Huang, Yuan Wang, Yang Yang, Jianfeng Gao, Junfeng Li, Jun Luo, Lingfei Wang, Jianguo Yang, Qing Luo, Ling Li, Steve S. Chung, Ming Liu
First Demonstration of a Design Methodology for Highly Reliable Operation at High Temperature on 128kb 1T1C FeRAM Chip. VLSI Technology and Circuits (2023)
An Yan, Zhengyuan Yang, Wanrong Zhu, Kevin Lin, Linjie Li, Jianfeng Wang, Jianwei Yang, Yiwu Zhong, Julian J. McAuley, Jianfeng Gao, Zicheng Liu, Lijuan Wang
GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation. CoRR (2023)
Yu Zhang, Hao Cheng, Zhihong Shen, Xiaodong Liu, Ye-Yi Wang, Jianfeng Gao
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding. CoRR (2023)
Chandan Singh, John X. Morris, Alexander M. Rush, Jianfeng Gao, Yuntian Deng
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. EMNLP (2023)
Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li
Learning Customized Visual Models with Retrieval-Augmented Knowledge. CVPR (2023)
Miaoran Li, Baolin Peng, Michel Galley, Jianfeng Gao, Zhu (Drew) Zhang
Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog. SIGDIAL (2023)
Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs. CoRR (2023)
Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
Visually-Augmented Language Modeling. ICLR (2023)
Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao
Instruction Tuning with GPT-4. CoRR (2023)
Jiarui Xu, Yossi Gandelsman, Amir Bar, Jianwei Yang, Jianfeng Gao, Trevor Darrell, Xiaolong Wang
IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks. CoRR (2023)
Jae Sung Park, Jack Hessel, Khyathi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. NeurIPS (2023)
Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering. ACL (2) (2023)
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Gao, Yong Jae Lee
Segment Everything Everywhere All at Once. CoRR (2023)
Robert Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
Fine-tuning large neural language models for biomedical natural language processing. Patterns 4 (4) (2023)
Chunyuan Li, Zhe Gan, Zhengyuan Yang, Jianwei Yang, Linjie Li, Lijuan Wang, Jianfeng Gao
Multimodal Foundation Models: From Specialists to General-Purpose Assistants. CoRR (2023)
Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. CoRR (2023)
Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
Bridging Discrete and Backpropagation: Straight-Through and Beyond. CoRR (2023)
Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao
Differentiable Tree Operations Promote Compositional Generalization. CoRR (2023)
Jianwei Yang, Hao Zhang, Feng Li, Xueyan Zou, Chunyuan Li, Jianfeng Gao
Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V. CoRR (2023)
Felix Faltings, Michel Galley, Baolin Peng, Kianté Brantley, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan
Interactive Text Generation. CoRR (2023)
Yu Li, Baolin Peng, Pengcheng He, Michel Galley, Zhou Yu, Jianfeng Gao
DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization. ACL (1) (2023)
Xiao Yu, Baolin Peng, Michel Galley, Jianfeng Gao, Zhou Yu
Teaching Language Models to Self-Improve through Interactive Demonstrations. CoRR (2023)
Shize Chen, Linlin Zhang, Xinli Hu, Qingyan Meng, Jiangkang Qian, Jianfeng Gao
A Spatiotemporal Fusion Model of Land Surface Temperature Based on Pixel Long Time-Series Regression: Expanding Inputs for Efficient Generation of Robust Fused Results. Remote. Sens. 15 (21) (2023)
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
Self-Verification Improves Few-Shot Clinical Information Extraction. CoRR (2023)
Yadong Lu, Chunyuan Li, Haotian Liu, Jianwei Yang, Jianfeng Gao, Yelong Shen
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models. CoRR (2023)
Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, Jianfeng Gao
Chain-of-Skills: A Configurable Model for Open-domain Question Answering. CoRR (2023)
Yu Gu, Jianwei Yang, Naoto Usuyama, Chunyuan Li, Sheng Zhang, Matthew P. Lungren, Jianfeng Gao, Hoifung Poon
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys. CoRR (2023)
Qirui Ren, Qiang Huo, Zhisheng Chen, Qi Gao, Yiming Wang, Yiming Yang, Hao Wu, Xiangqu Fu, Xiaoxin Xu, Qing Luo, Jianfeng Gao, Chengying Chen, Xiaojin Zhao, Dengyun Lei, Xinghua Wang, Feng Zhang, Yong Chen, Pui-In Mak
A Security-Enhanced, Charge-Pump-Free, ISO14443-A-/ISO10373-6-Compliant RFID Tag With 16.2-μW Embedded RRAM and Reconfigurable Strong PUF. IEEE Trans. Very Large Scale Integr. Syst. 31 (2) (2023)
Yu Zhang, Hao Cheng, Zhihong Shen, Xiaodong Liu, Ye-Yi Wang, Jianfeng Gao
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding. EMNLP (Findings) (2023)
Linyuan Gong, Chenyan Xiong, Xiaodong Liu, Payal Bajaj, Yiqing Xie, Alvin Cheung, Jianfeng Gao, Xia Song
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers. CoRR (2023)
Liangke Gui, Borui Wang, Qiuyuan Huang, Alexander Hauptmann, Yonatan Bisk, Jianfeng Gao
KAT: A Knowledge Augmented Transformer for Vision-and-Language. NAACL-HLT (2022)
Jianwei Yang, Chunyuan Li, Jianfeng Gao
Focal Modulation Networks. CoRR (2022)
Simiao Zuo, Xiaodong Liu, Jian Jiao, Denis Charles, Eren Manavoglu, Tuo Zhao, Jianfeng Gao
Efficient Long Sequence Modeling via State Space Augmented Transformer. CoRR (2022)
Chandan Singh, Jianfeng Gao
Emb-GAM: an Interpretable and Efficient Predictor using Pre-trained Language Models. CoRR (2022)
Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Oleksandr Polozov, Christopher Meek, Dragomir R. Radev, Jianfeng Gao
Learning from Self-Sampled Correct and Partially-Correct Programs. CoRR (2022)
Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao
Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge. EMNLP (Findings) (2022)
Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
Knowledge-Rich Self-Supervision for Biomedical Entity Linking. EMNLP (Findings) (2022)
Huaizhi Zhang, Jianfeng Gao, Bingyuan Hong
Φ-OTDR Signal Identification Method Based on Multimodal Fusion. Sensors 22 (22) (2022)
Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners. NAACL-HLT (Findings) (2022)
Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei
Language Models as Inductive Reasoners. CoRR (2022)
Baolin Peng, Michel Galley, Pengcheng He, Chris Brockett, Lars Liden, Elnaz Nouri, Zhou Yu, Bill Dolan, Jianfeng Gao
GODEL: Large-Scale Pre-Training for Goal-Directed Dialog. CoRR (2022)
Paul Smolensky, R. Thomas McCoy, Roland Fernandez, Matthew Goldrick, Jianfeng Gao
Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems. CoRR (2022)
Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao
Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge. CoRR (2022)
Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Yong Jae Lee, Houdong Hu, Zicheng Liu, Jianfeng Gao
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models. CoRR (2022)
Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jianfeng Gao