Следене
Hao Cheng
Hao Cheng
Microsoft Research
Потвърден имейл адрес: microsoft.com - Начална страница
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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
19962021
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
5412024
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
3882023
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
3522023
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
3472015
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
331*2024
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
1932020
Augmenting Language Models with Long-Term Memory
W Wang, L Dong, H Cheng, X Liu, X Yan, J Gao, F Wei
NeurIPS, 2023
1352023
Dialogue State Tracking with a Language Model using Schema-Driven Prompting
CH Lee, H Cheng, M Ostendorf
EMNLP, 2021
1282021
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
1122023
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
832024
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
792018
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
742021
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
672022
Bi-directional Attention with Agreement for Dependency Parsing
H Cheng, H Fang, X He, J Gao, L Deng
EMNLP, 2016
612016
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
572020
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
S Zhang, H Cheng, J Gao, H Poon
ICLR, 2023
542023
UnitedQA: A Hybrid Approach for Open Domain Question Answering
H Cheng, Y Shen, X Liu, P He, W Chen, J Gao
ACL, 2021
532021
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
512022
Open Domain Question Answering with A Unified Knowledge Interface
K Ma, H Cheng, X Liu, E Nyberg, J Gao
ACL, 2022
48*2022
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