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ORCIDJianfeng Gao 0001
Person information
- affiliation: Microsoft Research, Redmond, WA, USA
Other persons with the same name
- Jianfeng Gao 0002
![[0000-0002-6371-505X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6371-505X")
— Karlsruhe Institute of Technology, Germany - Jianfeng Gao 0003 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China
- Jianfeng Gao 0004 — Zhejiang Ocean University, Zhoushan, China
- Jianfeng Gao 0005 — Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China
- Jianfeng Gao 0006 — Soochow University, School of Electronics & Information Engineering, Suzhou, China
- Jianfeng Gao 0007 — Beijing Institute of Technology, School of Mechatronical Engineering, China
- Jianfeng Gao 0008 — China National Institute of Standardization, Ergonomics Laboratory, Beijing, China
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2020 – today
- 2024
[j28]Chunyuan Li, Zhe Gan, Zhengyuan Yang, Jianwei Yang, Linjie Li, Lijuan Wang, Jianfeng Gao:
Multimodal Foundation Models: From Specialists to General-Purpose Assistants. Found. Trends Comput. Graph. Vis. 16(1-2): 1-214 (2024)- [j27]Dingmin Wang, Qiuyuan Huang, Matthew Jackson, Jianfeng Gao:
Retrieve What You Need: A Mutual Learning Framework for Open-domain Question Answering. Trans. Assoc. Comput. Linguistics 12: 247-263 (2024) - [j26]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. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4066-4076 (2024) - [c303]Feng Li, Qing Jiang, Hao Zhang, Tianhe Ren, Shilong Liu, Xueyan Zou, Huaizhe Xu, Hongyang Li, Jianwei Yang, Chunyuan Li, Lei Zhang, Jianfeng Gao:
Visual in-Context Prompting. CVPR 2024: 12861-12871 - [c302]Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei:
Language Models as Inductive Reasoners. EACL (1) 2024: 209-225 - [c301]Hao Zhang, Hongyang Li, Feng Li, Tianhe Ren, Xueyan Zou, Shilong Liu, Shijia Huang, Jianfeng Gao, Leizhang, Chunyuan Li, Jainwei Yang:
LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models. ECCV (43) 2024: 19-35 - [c300]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. ECCV (47) 2024: 126-142 - [c299]Kate McCurdy, Paul Soulos, Paul Smolensky, Roland Fernandez, Jianfeng Gao:
Toward Compositional Behavior in Neural Models: A Survey of Current Views. EMNLP 2024: 9323-9339 - [c298]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Fast-ELECTRA for Efficient Pre-training. ICLR 2024 - [c297]Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao:
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. ICLR 2024 - [c296]Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao:
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. ICLR 2024 - [c295]Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama:
Is Self-Repair a Silver Bullet for Code Generation? ICLR 2024 - [c294]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. ICLR 2024 - [c293]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:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c292]Miaoran Li, Baolin Peng, Michel Galley, Jianfeng Gao, Zhu Zhang:
Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models. NAACL-HLT (Findings) 2024: 163-181 - [c291]Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao:
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks. NAACL-HLT (Findings) 2024: 1333-1351 - [c290]Ran Gong, Qiuyuan Huang, Xiaojian Ma, Yusuke Noda, Zane Durante, Zilong Zheng, Demetri Terzopoulos, Li Fei-Fei, Jianfeng Gao, Hoi Vo:
MindAgent: Emergent Gaming Interaction. NAACL-HLT (Findings) 2024: 3154-3183 - [c289]Xiao Yu, Baolin Peng, Michel Galley, Jianfeng Gao, Zhou Yu:
Teaching Language Models to Self-Improve through Interactive Demonstrations. NAACL-HLT 2024: 5127-5149 - [i302]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 abs/2401.03568 (2024) - [i301]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, 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 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, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i300]Yanda Chen, Chandan Singh, Xiaodong Liu, Simiao Zuo, Bin Yu, He He, Jianfeng Gao:
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning. CoRR abs/2401.13986 (2024) - [i299]Chandan Singh, Jeevana Priya Inala, Michel Galley, Rich Caruana, Jianfeng Gao:
Rethinking Interpretability in the Era of Large Language Models. CoRR abs/2402.01761 (2024) - [i298]Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao:
Learning a Decision Tree Algorithm with Transformers. CoRR abs/2402.03774 (2024) - [i297]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 J. Llorens, Hoi Vo, Katsushi Ikeuchi, Li Fei-Fei, Jianfeng Gao, Naoki Wake, Qiuyuan Huang:
An Interactive Agent Foundation Model. CoRR abs/2402.05929 (2024) - [i296]Shervin Minaee, Tomás Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, Jianfeng Gao:
Large Language Models: A Survey. CoRR abs/2402.06196 (2024) - [i295]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 abs/2402.06665 (2024) - [i294]Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, Lichao Sun:
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. CoRR abs/2402.17177 (2024) - [i293]Qiuyuan Huang, Naoki Wake, Bidipta Sarkar, Zane Durante, Ran Gong, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Noboru Kuno, Ade Famoti, Ashley J. Llorens, John Langford, Hoi Vo, Li Fei-Fei, Katsushi Ikeuchi, Jianfeng Gao:
Position Paper: Agent AI Towards a Holistic Intelligence. CoRR abs/2403.00833 (2024) - [i292]Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries. CoRR abs/2403.01002 (2024) - [i291]Hitesh Kandala, Jianfeng Gao, Jianwei Yang:
Pix2Gif: Motion-Guided Diffusion for GIF Generation. CoRR abs/2403.04634 (2024) - [i290]Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon:
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. CoRR abs/2403.08002 (2024) - [i289]An Yan, Zhengyuan Yang, Junda Wu, Wanrong Zhu, Jianwei Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Julian J. McAuley, Jianfeng Gao, Lijuan Wang:
List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs. CoRR abs/2404.16375 (2024) - [i288]Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, Jacob Abel, Christine Moung, Brian Piening, Carlo Bifulco, Mu Wei, Hoifung Poon, Sheng Wang:
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once. CoRR abs/2405.12971 (2024) - [i287]Vinamra Benara, Chandan Singh, John X. Morris, Richard Antonello, Ion Stoica, Alexander G. Huth, Jianfeng Gao:
Crafting Interpretable Embeddings by Asking LLMs Questions. CoRR abs/2405.16714 (2024) - [i286]Mu Cai, Jianwei Yang, Jianfeng Gao, Yong Jae Lee:
Matryoshka Multimodal Models. CoRR abs/2405.17430 (2024) - [i285]Lingchen Meng, Jianwei Yang, Rui Tian, Xiyang Dai, Zuxuan Wu, Jianfeng Gao, Yu-Gang Jiang:
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs. CoRR abs/2406.04334 (2024) - [i284]Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Liuyi Chen, Yilin Bai, Zhigang He, Chenlong Wang, Huichi Zhou, Yiqiang Li, Tianshuo Zhou, Yue Yu, Chujie Gao, Qihui Zhang, Yi Gui, Zhen Li, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun:
GUI-WORLD: A Dataset for GUI-oriented Multimodal LLM-based Agents. CoRR abs/2406.10819 (2024) - [i283]Siyuan Wu, Yue Huang, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Xiangliang Zhang, Jianfeng Gao, Chaowei Xiao, Lichao Sun:
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models. CoRR abs/2406.18966 (2024) - [i282]Zeliang Zhang, Xiaodong Liu, Hao Cheng, Chenliang Xu, Jianfeng Gao:
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts. CoRR abs/2407.09590 (2024) - [i281]Chenglong Wang, Bongshin Lee, Steven Mark Drucker, Dan Marshall, Jianfeng Gao:
Data Formulator 2: Iteratively Creating Rich Visualizations with AI. CoRR abs/2408.16119 (2024) - [i280]Qingru Zhang, Xiaodong Yu, Chandan Singh, Xiaodong Liu, Liyuan Liu, Jianfeng Gao, Tuo Zhao, Dan Roth, Hao Cheng:
Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering. CoRR abs/2409.10790 (2024) - [i279]Liyuan Liu, Young Jin Kim, Shuohang Wang, Chen Liang, Yelong Shen, Hao Cheng, Xiaodong Liu, Masahiro Tanaka, Xiaoxia Wu, Wenxiang Hu, Vishrav Chaudhary, Zeqi Lin, Chengruidong Zhang, Jilong Xue, Hany Awadalla, Jianfeng Gao, Weizhu Chen:
GRIN: GRadient-INformed MoE. CoRR abs/2409.12136 (2024) - [i278]Junjie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu:
Contextualized Data-Wrangling Code Generation in Computational Notebooks. CoRR abs/2409.13551 (2024) - [i277]Jeevana Priya Inala, Chenglong Wang, Steven Mark Drucker, Gonzalo Ramos, Victor Dibia, Nathalie Riche, Dave Brown, Dan Marshall, Jianfeng Gao:
Data Analysis in the Era of Generative AI. CoRR abs/2409.18475 (2024) - [i276]Richard Antonello, Chandan Singh, Shailee Jain, Aliyah R. Hsu, Jianfeng Gao, Bin Yu, Alexander Huth:
A generative framework to bridge data-driven models and scientific theories in language neuroscience. CoRR abs/2410.00812 (2024) - [i275]Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu:
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning. CoRR abs/2410.02052 (2024) - [i274]Yufan Zhuang, Chandan Singh, Liyuan Liu, Jingbo Shang, Jianfeng Gao:
Vector-ICL: In-context Learning with Continuous Vector Representations. CoRR abs/2410.05629 (2024) - [i273]Mu Cai, Reuben Tan, Jianrui Zhang, Bocheng Zou, Kai Zhang, Feng Yao, Fangrui Zhu, Jing Gu, Yiwu Zhong, Yuzhang Shang, Yao Dou, Jaden Park, Jianfeng Gao, Yong Jae Lee, Jianwei Yang:
TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models. CoRR abs/2410.10818 (2024) - [i272]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:
Latent Action Pretraining from Videos. CoRR abs/2410.11758 (2024) - [i271]Paul Smolensky, Roland Fernandez, Zhenghao Herbert Zhou, Mattia Opper, Jianfeng Gao:
Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks. CoRR abs/2410.17498 (2024) - [i270]Chung-En Sun, Xiaodong Liu, Weiwei Yang, Tsui-Wei Weng, Hao Cheng, Aidan San, Michel Galley, Jianfeng Gao:
Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities. CoRR abs/2410.18469 (2024) - 2023
- [b1]Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell:
Neural Approaches to Conversational Information Retrieval. The Information Retrieval Series 44, Springer 2023, ISBN 978-3-031-23079-0, pp. 1-192 - [j25]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): 100729 (2023) - [j24]R. Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, Asli Celikyilmaz:
How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN. Trans. Assoc. Comput. Linguistics 11: 652-670 (2023) - [j23]Liangke Gui, Yingshan Chang, Qiuyuan Huang, Subhojit Som, Alexander G. Hauptmann, Jianfeng Gao, Yonatan Bisk:
Training Vision-Language Transformers from Captions. Trans. Mach. Learn. Res. 2023 (2023) - [c288]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: 1368-1386 - [c287]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: 1599-1618 - [c286]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: 1762-1773 - [c285]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: 1864-1875 - [c284]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: 5095-5112 - [c283]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: 9116-9132 - [c282]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: 12933-12950 - [c281]Chandan Singh, John X. Morris, Jyoti Aneja, Alexander M. Rush, Jianfeng Gao:
Explaining Data Patterns in Natural Language with Language Models. BlackboxNLP@EMNLP 2023: 31-55 - [c280]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: 15116-15127 - [c279]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: 15148-15158 - [c278]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: 22511-22521 - [c277]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: 106-123 - [c276]Felix Faltings, Michel Galley, Kianté Brantley, Baolin Peng, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan:
Interactive Text Generation. EMNLP 2023: 4450-4468 - [c275]Chandan Singh, John X. Morris, Alexander M. Rush, Jianfeng Gao, Yuntian Deng:
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. EMNLP 2023: 6253-6267 - [c274]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: 12259-12275 - [c273]Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon:
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. ICLR 2023 - [c272]Pengcheng He, Jianfeng Gao, Weizhu Chen:
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing. ICLR 2023 - [c271]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 - [c270]Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei:
Visually-Augmented Language Modeling. ICLR 2023 - [c269]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining. ICML 2023: 8244-8259 - [c268]Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao:
Differentiable Tree Operations Promote Compositional Generalization. ICML 2023: 32499-32520 - [c267]Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan:
Guiding Large Language Models via Directional Stimulus Prompting. NeurIPS 2023 - [c266]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 - [c265]Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao:
Bridging Discrete and Backpropagation: Straight-Through and Beyond. NeurIPS 2023 - [c264]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 - [c263]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. NeurIPS 2023 - [c262]Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei:
Augmenting Language Models with Long-Term Memory. NeurIPS 2023 - [c261]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 - [c260]Miaoran Li, Baolin Peng, Michel Galley, Jianfeng Gao, Zhu (Drew) Zhang:
Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog. SIGDIAL 2023: 496-508 - [i269]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 abs/2301.07093 (2023) - [i268]Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li:
Learning Customized Visual Models with Retrieval-Augmented Knowledge. CoRR abs/2301.07094 (2023) - [i267]Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan:
Guiding Large Language Models via Directional Stimulus Prompting. CoRR abs/2302.11520 (2023) - [i266]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 abs/2302.12813 (2023) - [i265]Felix Faltings, Michel Galley, Baolin Peng, Kianté Brantley, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan:
Interactive Text Generation. CoRR abs/2303.00908 (2023) - [i264]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 abs/2303.08131 (2023) - [i263]Sanxing Chen, Hao Cheng, Xiaodong Liu, Jian Jiao, Yangfeng Ji, Jianfeng Gao:
Pre-training Transformers for Knowledge Graph Completion. CoRR abs/2303.15682 (2023) - [i262]Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao:
Instruction Tuning with GPT-4. CoRR abs/2304.03277 (2023) - [i261]Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Gao, Yong Jae Lee:
Segment Everything Everywhere All at Once. CoRR abs/2304.06718 (2023) - [i260]Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao:
Bridging Discrete and Backpropagation: Straight-Through and Beyond. CoRR abs/2304.08612 (2023) - [i259]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 abs/2304.09842 (2023) - [i258]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 abs/2305.00970 (2023) - [i257]Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, Jianfeng Gao:
Chain-of-Skills: A Configurable Model for Open-domain Question Answering. CoRR abs/2305.03130 (2023) - [i256]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 abs/2305.09863 (2023) - [i255]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 abs/2305.12567 (2023) - [i254]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 abs/2305.14232 (2023) - [i253]Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon:
Self-Verification Improves Few-Shot Clinical Information Extraction. CoRR abs/2306.00024 (2023) - [i252]Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao:
Differentiable Tree Operations Promote Compositional Generalization. CoRR abs/2306.00751 (2023) - [i251]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 abs/2306.00890 (2023) - [i250]Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei:
Augmenting Language Models with Long-Term Memory. CoRR abs/2306.07174 (2023) - [i249]Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama:
Demystifying GPT Self-Repair for Code Generation. CoRR abs/2306.09896 (2023) - [i248]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 abs/2307.04767 (2023) - [i247]Yadong Lu, Chunyuan Li, Haotian Liu, Jianwei Yang, Jianfeng Gao, Yelong Shen:
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models. CoRR abs/2309.09958 (2023) - [i246]Ran Gong, Qiuyuan Huang, Xiaojian Ma, Hoi Vo, Zane Durante,