Seuraa
Shengding Hu
Shengding Hu
Tsinghua University
Vahvistettu sähköpostiosoite verkkotunnuksessa mails.tsinghua.edu.cn
Nimike
Viittaukset
Viittaukset
Vuosi
Graph neural networks: A review of methods and applications
J Zhou, G Cui, S Hu, Z Zhang, C Yang, Z Liu, L Wang, C Li, M Sun
AI open 1, 57-81, 2020
70332020
Parameter-efficient fine-tuning of large-scale pre-trained language models
N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ...
Nature Machine Intelligence 5 (3), 220-235, 2023
6972023
Knowledgeable prompt-tuning: Incorporating knowledge into prompt verbalizer for text classification
S Hu, N Ding, H Wang, Z Liu, J Li, M Sun
3882021
Enhancing chat language models by scaling high-quality instructional conversations
N Ding, Y Chen, B Xu, Y Qin, Z Zheng, S Hu, Z Liu, M Sun, B Zhou
arXiv preprint arXiv:2305.14233, 2023
3522023
Tool learning with foundation models
Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, X Zhou, Y Huang, ...
ACM Computing Surveys 57 (4), 1-40, 2024
3142024
Openprompt: An open-source framework for prompt-learning
N Ding, S Hu, W Zhao, Y Chen, Z Liu, HT Zheng, M Sun
arXiv preprint arXiv:2111.01998, 2021
3142021
Delta tuning: A comprehensive study of parameter efficient methods for pre-trained language models
N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ...
arXiv preprint arXiv:2203.06904, 2022
2342022
Minicpm: Unveiling the potential of small language models with scalable training strategies
S Hu, Y Tu, X Han, C He, G Cui, X Long, Z Zheng, Y Fang, Y Huang, ...
arXiv preprint arXiv:2404.06395, 2024
2122024
Minicpm-v: A gpt-4v level mllm on your phone
Y Yao, T Yu, A Zhang, C Wang, J Cui, H Zhu, T Cai, H Li, W Zhao, Z He, ...
arXiv preprint arXiv:2408.01800, 2024
2052024
Prototypical verbalizer for prompt-based few-shot tuning
G Cui, S Hu, N Ding, L Huang, Z Liu
arXiv preprint arXiv:2203.09770, 2022
1052022
Graph Policy Network for Transferable Active Learning on Graphs
S Hu, Z Xiong, M Qu, X Yuan, MA Côté, Z Liu, J Tang
NeurIPS'20, 2020
792020
Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems
C He, R Luo, Y Bai, S Hu, ZL Thai, J Shen, J Hu, X Han, Y Huang, ...
arXiv preprint arXiv:2402.14008, 2024
702024
Bench: Extending Long Context Evaluation Beyond 100K Tokens
X Zhang, Y Chen, S Hu, Z Xu, J Chen, MK Hao, X Han, ZL Thai, S Wang, ...
arXiv preprint arXiv:2402.13718, 2024
532024
Decoder-only or encoder-decoder? interpreting language model as a regularized encoder-decoder
Z Fu, W Lam, Q Yu, AMC So, S Hu, Z Liu, N Collier
arXiv preprint arXiv:2304.04052, 2023
512023
& Sun, M.(2020)
J Zhou, G Cui, S Hu, Z Zhang, C Yang, Z Liu
Graph neural networks: A review of methods and applications. AI open 1, 57-81, 0
50
Copen: Probing conceptual knowledge in pre-trained language models
H Peng, X Wang, S Hu, H Jin, L Hou, J Li, Z Liu, Q Liu
arXiv preprint arXiv:2211.04079, 2022
432022
Sparse structure search for delta tuning
S Hu, Z Zhang, N Ding, Y Wang, Y Wang, Z Liu, M Sun
Advances in Neural Information Processing Systems, 2022
32*2022
Prosparse: Introducing and enhancing intrinsic activation sparsity within large language models
C Song, X Han, Z Zhang, S Hu, X Shi, K Li, C Chen, Z Liu, G Li, T Yang, ...
arXiv preprint arXiv:2402.13516, 2024
212024
Won't get fooled again: Answering questions with false premises
S Hu, Y Luo, H Wang, X Cheng, Z Liu, M Sun
arXiv preprint arXiv:2307.02394, 2023
142023
Ultraeval: A lightweight platform for flexible and comprehensive evaluation for llms
C He, R Luo, S Hu, Y Zhao, J Zhou, H Wu, J Zhang, X Han, Z Liu, M Sun
arXiv preprint arXiv:2404.07584, 2024
122024
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20