Hao Cheng

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Jianfeng GaoMicrosoft Research, RedmondAdresse e-mail validée de microsoft.com
Xiaodong LiuMicrosoft Research, RedmondAdresse e-mail validée de microsoft.com
Mari OstendorfProfessor, Electrical Engineering, University of WashingtonAdresse e-mail validée de uw.edu
Michel GalleySr. Principal Researcher at MicrosoftAdresse e-mail validée de acm.org
Hao FangGoogle DeepMindAdresse e-mail validée de google.com
Baolin PengMicrosoft Research, RedmondAdresse e-mail validée de microsoft.com
Kai-Wei ChangAssociate Professor, UCLAAdresse e-mail validée de kwchang.net
Pan LuStanford UniversityAdresse e-mail validée de stanford.edu
Hannaneh HajishirziUniversity of Washington; Allen AIAdresse e-mail validée de cs.washington.edu
Chunyuan LixAIAdresse e-mail validée de x.ai
Zhou YuColumbia UniversityAdresse e-mail validée de columbia.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceAdresse e-mail validée de cs.washington.edu
Furu WeiPartner Research Manager, Microsoft ResearchAdresse e-mail validée de microsoft.com
Li DongMicrosoft ResearchAdresse e-mail validée de microsoft.com
Chia-Hsuan (Michael) LeeCapital One ; ex-UWNLPAdresse e-mail validée de uw.edu
Xiaodong HeAI Lab, JD.com; IEEE/CAAI FellowAdresse e-mail validée de ieee.org
Li DengChief AI Officer, Citadel (former)Adresse e-mail validée de ieee.org
Jiacheng LiuUniversity of WashingtonAdresse e-mail validée de cs.washington.edu
Hritik BansalUniversity of California Los Angeles | Indian Institute of Technology DelhiAdresse e-mail validée de g.ucla.edu
Tony XiaStanford UniversityAdresse e-mail validée de ucla.edu

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Hao Cheng

Microsoft Research; University of Washington

Adresse e-mail validée de microsoft.com - Page d'accueil

Deep Learning LLM Natural Language Processing AI for Health


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Domain-specific language model pretraining for biomedical natural language processing Y Gu, R Tinn, H Cheng*, M Lucas, N Usuyama, X Liu, T Naumann, ... ACM Transactions on Computing for Healthcare (HEALTH) 3 (1), 1-23, 2021	2114	2021
Phi-3 technical report: A highly capable language model locally on your phone M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ... arXiv preprint arXiv:2404.14219, 2024	739	2024
Check your facts and try again: Improving large language models with external knowledge and automated feedback B Peng, M Galley, P He, H Cheng, Y Xie, Y Hu, Q Huang, L Liden, Z Yu, ... arXiv preprint arXiv:2302.12813, 2023	421	2023
Mathvista: Evaluating math reasoning in visual contexts with gpt-4v, bard, and other large multimodal models P Lu, H Bansal, T Xia, J Liu, C Li, H Hajishirzi, H Cheng, KW Chang, ... ICLR, 2024	401*	2024
Chameleon: Plug-and-play compositional reasoning with large language models P Lu, B Peng, H Cheng, M Galley, KW Chang, YN Wu, SC Zhu, J Gao NeurIPS, 2023	396	2023
Language models for image captioning: The quirks and what works J Devlin, H Cheng, H Fang, S Gupta, L Deng, X He, G Zweig, M Mitchell ACL, 2015	348	2015
Adversarial training for large neural language models X Liu, H Cheng, P He, W Chen, Y Wang, H Poon, J Gao arXiv preprint arXiv:2004.08994, 2020	196	2020
Augmenting Language Models with Long-Term Memory W Wang, L Dong, H Cheng, X Liu, X Yan, J Gao, F Wei NeurIPS, 2023	159	2023
Dialogue State Tracking with a Language Model using Schema-Driven Prompting CH Lee, H Cheng, M Ostendorf EMNLP, 2021	132	2021
Fine-tuning large neural language models for biomedical natural language processing R Tinn, H Cheng, Y Gu, N Usuyama, X Liu, T Naumann, J Gao, H Poon Patterns 4 (4), 2023	121	2023
Llava-plus: Learning to use tools for creating multimodal agents S Liu, H Cheng, H Liu, H Zhang, F Li, T Ren, X Zou, J Yang, H Su, J Zhu, ... ECCV, 2024	95	2024
Sounding Board: A User-Centric and Content-Driven Social Chatbot H Fang, H Cheng, M Sap, E Clark, A Holtzman, Y Choi, NA Smith, ... NAACL (demo), 2018	80	2018
Neurips 2020 efficientqa competition: Systems, analyses and lessons learned S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ... NeurIPS 2020 Competition and Demonstration Track, 86-111, 2021	78	2021
Human parity on commonsenseqa: Augmenting self-attention with external attention Y Xu, C Zhu, S Wang, S Sun, H Cheng, X Liu, J Gao, P He, M Zeng, ... IJCAI, 2022	71	2022
Bi-directional Attention with Agreement for Dependency Parsing H Cheng, H Fang, X He, J Gao, L Deng EMNLP, 2016	61	2016
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning S Zhang, H Cheng, J Gao, H Poon ICLR, 2023	59	2023
The microsoft toolkit of multi-task deep neural networks for natural language understanding X Liu, Y Wang, J Ji, H Cheng, X Zhu, E Awa, P He, W Chen, H Poon, ... ACL (demo), 2020	58	2020
A survey of knowledge-intensive nlp with pre-trained language models D Yin, L Dong, H Cheng, X Liu, KW Chang, F Wei, J Gao arXiv preprint arXiv:2202.08772, 2022	55	2022
UnitedQA: A Hybrid Approach for Open Domain Question Answering H Cheng, Y Shen, X Liu, P He, W Chen, J Gao ACL, 2021	55	2021
Open Domain Question Answering with A Unified Knowledge Interface K Ma, H Cheng, X Liu, E Nyberg, J Gao ACL, 2022	51*	2022

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