Fei Huang
Fei Huang
Carnegie Mellon University, IBM Research, Facebook, Alibaba DAMO Academy
Verified email at - Homepage
Cited by
Cited by
A joint neural model for information extraction with global features
Y Lin, H Ji, F Huang, L Wu
Proceedings of the 58th annual meeting of the association for computational …, 2020
Knowing what, how and why: A near complete solution for aspect-based sentiment analysis
H Peng, L Xu, L Bing, F Huang, W Lu, L Si
Proceedings of the AAAI conference on artificial intelligence 34 (05), 8600-8607, 2020
mplug-owl: Modularization empowers large language models with multimodality
Q Ye, H Xu, G Xu, J Ye, M Yan, Y Zhou, J Wang, A Hu, P Shi, Y Shi, C Li, ...
arXiv preprint arXiv:2304.14178, 2023
Knowprompt: Knowledge-aware prompt-tuning with synergistic optimization for relation extraction
X Chen, N Zhang, X Xie, S Deng, Y Yao, C Tan, F Huang, L Si, H Chen
Proceedings of the ACM Web conference 2022, 2778-2788, 2022
Qwen technical report
J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ...
arXiv preprint arXiv:2309.16609, 2023
The CMU statistical machine translation system
S Vogel, Y Zhang, F Huang, A Tribble, A Venugopal, B Zhao, A Waibel
Proceedings of Machine Translation Summit IX: Papers, 2003
Automated concatenation of embeddings for structured prediction
X Wang, Y Jiang, N Bach, T Wang, Z Huang, F Huang, K Tu
arXiv preprint arXiv:2010.05006, 2020
Goodness: A method for measuring machine translation confidence
N Bach, F Huang, Y Al-Onaizan
Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011
Differentiable prompt makes pre-trained language models better few-shot learners
N Zhang, L Li, X Chen, S Deng, Z Bi, C Tan, F Huang, H Chen
arXiv preprint arXiv:2108.13161, 2021
Findings of the IWSLT 2020 evaluation campaign
E Ansari, A Axelrod, N Bach, O Bojar, R Cattoni, F Dalvi, N Durrani, ...
Proceedings of the 17th International Conference on Spoken Language …, 2020
Universal translation
F Huang
US Patent 9,734,142, 2017
Document-level relation extraction as semantic segmentation
N Zhang, X Chen, X Xie, S Deng, C Tan, M Chen, F Huang, L Si, H Chen
arXiv preprint arXiv:2106.03618, 2021
Improving named entity recognition by external context retrieving and cooperative learning
X Wang, Y Jiang, N Bach, T Wang, Z Huang, F Huang, K Tu
arXiv preprint arXiv:2105.03654, 2021
Galaxy: A generative pre-trained model for task-oriented dialog with semi-supervised learning and explicit policy injection
W He, Y Dai, Y Zheng, Y Wu, Z Cao, D Liu, P Jiang, M Yang, F Huang, ...
Proceedings of the AAAI conference on artificial intelligence 36 (10), 10749 …, 2022
Rrhf: Rank responses to align language models with human feedback without tears
Z Yuan, H Yuan, C Tan, W Wang, S Huang, F Huang
arXiv preprint arXiv:2304.05302, 2023
Cblue: A chinese biomedical language understanding evaluation benchmark
N Zhang, M Chen, Z Bi, X Liang, L Li, X Shang, K Yin, C Tan, J Xu, ...
arXiv preprint arXiv:2106.08087, 2021
Mining key phrase translations from web corpora
F Huang, Y Zhang, S Vogel
Proceedings of Human Language Technology Conference and Conference on …, 2005
Raise a child in large language model: Towards effective and generalizable fine-tuning
R Xu, F Luo, Z Zhang, C Tan, B Chang, S Huang, F Huang
arXiv preprint arXiv:2109.05687, 2021
Reasoning with language model prompting: A survey
S Qiao, Y Ou, N Zhang, X Chen, Y Yao, S Deng, C Tan, F Huang, H Chen
arXiv preprint arXiv:2212.09597, 2022
Contrastive triple extraction with generative transformer
H Ye, N Zhang, S Deng, M Chen, C Tan, F Huang, H Chen
Proceedings of the AAAI conference on artificial intelligence 35 (16), 14257 …, 2021
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