Xiangyang Liu (刘向阳)
Xiangyang Liu (刘向阳)
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A survey of transformers
T Lin, Y Wang, X Liu, X Qiu
AI open 3, 111-132, 2022
The rise and potential of large language model based agents: A survey
Z Xi, W Chen, X Guo, W He, Y Ding, B Hong, M Zhang, J Wang, S Jin, ...
arXiv preprint arXiv:2309.07864, 2023
Paradigm shift in natural language processing
TX Sun, XY Liu, XP Qiu, XJ Huang
Machine Intelligence Research 19 (3), 169-183, 2022
Moss: Training conversational language models from synthetic data
T Sun, X Zhang, Z He, P Li, Q Cheng, H Yan, X Liu, Y Shao, Q Tang, ...
arXiv preprint arXiv:2307.15020 7, 2023
Towards efficient NLP: A standard evaluation and A strong baseline
X Liu, T Sun, J He, L Wu, X Zhang, H Jiang, Z Cao, X Huang, X Qiu
NAACL 2022, 2021
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation
T Sun, X Liu, W Zhu, Z Geng, L Wu, Y He, Y Ni, G Xie, X Huang, X Qiu
Findings of ACL 2022, 2022
Early exiting with ensemble internal classifiers
T Sun, Y Zhou, X Liu, X Zhang, H Jiang, Z Cao, X Huang, X Qiu
arXiv preprint arXiv:2105.13792, 2021
Evaluating hallucinations in chinese large language models
Q Cheng, T Sun, W Zhang, S Wang, X Liu, M Zhang, J He, M Huang, Z Yin, ...
arXiv preprint arXiv:2310.03368, 2023
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts
X Liu, T Sun, X Huang, X Qiu
Findings of EMNLP 2022, 2022
Loopless semi-stochastic gradient descent with less hard thresholding for sparse learning
X Liu, B Wei, F Shang, H Liu
Proceedings of the 28th ACM International Conference on Information and …, 2019
Flames: Benchmarking value alignment of chinese large language models
K Huang, X Liu, Q Guo, T Sun, J Sun, Y Wang, Z Zhou, Y Wang, Y Teng, ...
arXiv preprint arXiv:2311.06899, 2023
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