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Zhengfu He
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BBTv2: Towards a Gradient-Free Future with Large Language Models
T Sun, Z He, H Qian, Y Zhou, XJ Huang, X Qiu
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
60*2022
Diffusionbert: Improving generative masked language models with diffusion models
Z He, T Sun, K Wang, X Huang, X Qiu
arXiv preprint arXiv:2211.15029, 2022
582022
MOSS: An Open Conversational Large Language Model
T Sun, X Zhang, Z He, P Li, Q Cheng, X Liu, H Yan, Y Shao, Q Tang, ...
Machine Intelligence Research, 1-18, 2024
41*2024
Multitask pre-training of modular prompt for chinese few-shot learning
T Sun, Z He, Q Zhu, X Qiu, X Huang
arXiv preprint arXiv:2210.07565, 2022
162022
Can AI Assistants Know What They Don't Know?
Q Cheng, T Sun, X Liu, W Zhang, Z Yin, S Li, L Li, K Chen, X Qiu
arXiv preprint arXiv:2401.13275, 2024
32024
Competition for gradient-free tuning of large language models: approaches, results, current challenges and future directions
T Cao, L Chen, D Zhang, T Sun, Z He, X Qiu, X Xu, H Zhang
National Science Review 10 (6), nwad124, 2023
32023
Dictionary Learning Improves Patch-Free Circuit Discovery in Mechanistic Interpretability: A Case Study on Othello-GPT
Z He, X Ge, Q Tang, T Sun, Q Cheng, X Qiu
arXiv preprint arXiv:2402.12201, 2024
22024
Automatically Identifying Local and Global Circuits with Linear Computation Graphs
X Ge, F Zhu, W Shu, J Wang, Z He, X Qiu
arXiv preprint arXiv:2405.13868, 2024
2024
Generate Point Clouds with Multiscale Details from Graph-Represented Structures
X Yang, Z He, C Jin
arXiv preprint arXiv:2112.06433, 2021
2021
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