Yeyun Gong
Yeyun Gong
Microsoft Research Asia
Verified email at - Homepage
Cited by
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Prophetnet: Predicting future n-gram for sequence-to-sequence pre-training
W Qi, Y Yan, Y Gong, D Liu, N Duan, J Chen, R Zhang, M Zhou
arXiv preprint arXiv:2001.04063, 2020
Hashtag recommendation using attention-based convolutional neural network.
Y Gong, Q Zhang
IJCAI 16, 2782-2788, 2016
XGLUE: A new benchmark dataset for cross-lingual pre-training, understanding and generation
Y Liang, N Duan, Y Gong, N Wu, F Guo, W Qi, M Gong, L Shou, D Jiang, ...
arXiv preprint arXiv:2004.01401, 2020
Keyphrase extraction using deep recurrent neural networks on twitter
Q Zhang, Y Wang, Y Gong, XJ Huang
Proceedings of the 2016 conference on empirical methods in natural language …, 2016
Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network.
Q Zhang, J Wang, H Huang, X Huang, Y Gong
IJCAI, 3420-3426, 2017
Retweet prediction with attention-based deep neural network
Q Zhang, Y Gong, J Wu, H Huang, X Huang
Proceedings of the 25th ACM international on conference on information and …, 2016
Joint type inference on entities and relations via graph convolutional networks
C Sun, Y Gong, Y Wu, M Gong, D Jiang, M Lan, S Sun, N Duan
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Critic: Large language models can self-correct with tool-interactive critiquing
Z Gou, Z Shao, Y Gong, Y Shen, Y Yang, N Duan, W Chen
arXiv preprint arXiv:2305.11738, 2023
Adversarial retriever-ranker for dense text retrieval
H Zhang, Y Gong, Y Shen, J Lv, N Duan, W Chen
arXiv preprint arXiv:2110.03611, 2021
Annollm: Making large language models to be better crowdsourced annotators
X He, Z Lin, Y Gong, A Jin, H Zhang, C Lin, J Jiao, SM Yiu, N Duan, ...
arXiv preprint arXiv:2303.16854, 2023
Cmmlu: Measuring massive multitask language understanding in chinese
H Li, Y Zhang, F Koto, Y Yang, H Zhao, Y Gong, N Duan, T Baldwin
arXiv preprint arXiv:2306.09212, 2023
Think-on-graph: Deep and responsible reasoning of large language model with knowledge graph
J Sun, C Xu, L Tang, S Wang, C Lin, Y Gong, HY Shum, J Guo
arXiv preprint arXiv:2307.07697, 2023
Poolingformer: Long document modeling with pooling attention
H Zhang, Y Gong, Y Shen, W Li, J Lv, N Duan, W Chen
International Conference on Machine Learning, 12437-12446, 2021
Retweet behavior prediction using hierarchical dirichlet process
Q Zhang, Y Gong, Y Guo, X Huang
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
GLGE: A new general language generation evaluation benchmark
D Liu, Y Yan, Y Gong, W Qi, H Zhang, J Jiao, W Chen, J Fu, L Shou, ...
arXiv preprint arXiv:2011.11928, 2020
Enhancing retrieval-augmented large language models with iterative retrieval-generation synergy
Z Shao, Y Gong, Y Shen, M Huang, N Duan, W Chen
arXiv preprint arXiv:2305.15294, 2023
Tora: A tool-integrated reasoning agent for mathematical problem solving
Z Gou, Z Shao, Y Gong, Y Yang, M Huang, N Duan, W Chen
arXiv preprint arXiv:2309.17452, 2023
Synthetic prompting: Generating chain-of-thought demonstrations for large language models
Z Shao, Y Gong, Y Shen, M Huang, N Duan, W Chen
International Conference on Machine Learning, 30706-30775, 2023
Query rewriting for retrieval-augmented large language models
X Ma, Y Gong, P He, H Zhao, N Duan
arXiv preprint arXiv:2305.14283, 2023
Mask attention networks: Rethinking and strengthen transformer
Z Fan, Y Gong, D Liu, Z Wei, S Wang, J Jiao, N Duan, R Zhang, X Huang
arXiv preprint arXiv:2103.13597, 2021
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