Gao, Jianfeng
Microsoft (United States)
40 papers on CoChatORCID 0000-0002-5702-6143
Most cited papers
- Verified
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Bajaj, P., Campos, D., Craswell, N., Deng, L., Gao, J., Liu, X., Majumder, R., McNamara, A., Mitra, B., Nguyen, T., et al. (2016) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 2,473
- Verified
Domain-specific language model pretraining for biomedical natural language processing
Gu, Y., Tinn, R., Cheng, H., Lucas, M., Usuyama, N., Liu, X., Naumann, T., Gao, J., & Poon, H. (2022) · ACM Transactions on Computing for Healthcare
Topic ModelingBiomedical Text Mining and Ontologies
Cited by 2,170
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Unified Language Model Pre-training for Natural Language Understanding and Generation
Dong, L., Yang, N., Wang, W., Wei, F., Liu, X., Wang, Y., Gao, J., Zhou, M., & Hon, H.-W. (2019) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1,225
- Verified
DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation
Zhang, Y., Sun, S., Galley, M., Chen, Y.-C., Brockett, C., Gao, X., Gao, J., Liu, J., & Dolan, B. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Speech and dialogue systemsTopic Modeling
Cited by 1,076
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LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
Li, C., Wong, C., Zhang, S., Usuyama, N., Liu, H., Yang, J., Naumann, T., Poon, H., & Gao, J. (2023) · Advances in Neural Information Processing Systems 36
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 986
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The Design and Implementation of XiaoIce, an Empathetic Social Chatbot
Zhou, L., Gao, J., Li, D., & Shum, H.-Y. (2018) · arXiv
Speech and dialogue systemsAI in Service Interactions
Cited by 777
- Verified
The design and implementation of Xiaoice, an empathetic social chatbot
Zhou, L., Gao, J., Li, D., & Shum, H.-Y. (2020) · Computational Linguistics
Speech and dialogue systemsAI in Service Interactions
Cited by 777
- Verified
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
Li, C., Wong, C., Zhang, S., Usuyama, N., Liu, H., Yang, J., Naumann, T., Poon, H., & Gao, J. (2023) · arXiv
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 590
- Verified
Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval
Liu, X., Gao, J., He, X., Deng, L., Duh, K., & Wang, Y.-Y. (2015) · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Topic ModelingInformation Retrieval and Search Behavior
Cited by 395
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Large Language Models: A Survey
Minaee, S., Mikolov, T., Nikzad, N., Chenaghlu, M., Socher, R., Amatriain, X., & Gao, J. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 325
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Challenges in building intelligent open-domain dialog systems
Huang, M., Zhu, X., & Gao, J. (2020) · ACM Transactions on Information Systems
Speech and dialogue systemsAI in Service Interactions
Cited by 288
- Verified
A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs
Zhang, S., Xu, Y., Usuyama, N., Xu, H., Bagga, J., Tinn, R., Preston, S., Rao, R., Wei, M., Valluri, N., et al. (2025) · NEJM AI
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 283
- Verified
Focal Modulation Networks
Yang, J., Li, C., Dai, X., Yuan, L., & Gao, J. (2022) · arXiv
Neural Networks and ApplicationsAdvanced Neural Network Applications
Cited by 265
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Evaluation of Text Generation: A Survey
Celikyilmaz, A., Clark, E., & Gao, J. (2020) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 207
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Instruction Tuning with GPT-4
Peng, B., Li, C., He, P., Galley, M., & Gao, J. (2023) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 183
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Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback
Peng, B., Galley, M., He, P., Cheng, H., Xie, Y., Hu, Y., Huang, Q., Liden, L., Yu, Z., Chen, W., et al. (2023) · arXiv
Topic ModelingSpeech and dialogue systems
Cited by 156
- Verified
Generation-Augmented Retrieval for Open-Domain Question Answering
Mao, Y., He, P., Liu, X., Shen, Y., Gao, J., Han, J., & Chen, W. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Topic ModelingInformation Retrieval and Search Behavior
Cited by 146
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Coarse-to-fine vision-language pre-training with fusion in the backbone
Dou, Z.-Y., Kamath, A., Gan, Z., Zhang, P., Wang, J., Li, L., Liu, Z., Liu, C., Lecun, Y., Peng, N., et al. (2022) · Advances in Neural Information Processing Systems 35
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 93
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Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models
Wang, B., Xu, C., Wang, S., Gan, Z., Cheng, Y., Gao, J., Awadallah, A. H., & Li, B. (2021) · arXiv
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 88
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End-to-end joint learning of natural language understanding and dialogue manager
Yang, X., Chen, Y.-N., Hakkani-Tur, D., Crook, P., Li, X., Gao, J., & Deng, L. (2017) · 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Speech and dialogue systemsNatural Language Processing Techniques
Cited by 80
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AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning
Wang, Y., Agarwal, S., Mukherjee, S., Liu, X., Gao, J., Awadallah, A. H., & Gao, J. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 77
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GO FIGURE: A Meta Evaluation of Factuality in Summarization
Gabriel, S., Celikyilmaz, A., Jha, R., Choi, Y., & Gao, J. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Topic ModelingNatural Language Processing Techniques
Cited by 75
- Verified
Neural Approaches to Conversational AI
Gao, J., Galley, M., & Li, L. (2018) · Proceedings of ACL 2018, Tutorial Abstracts
Speech and dialogue systemsAI in Service Interactions
Cited by 73
- Verified
Augmenting Language Models with Long-Term Memory
Wang, W., Dong, L., Cheng, H., Liu, X., Yan, X., Gao, J., & Wei, F. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 72
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