Ning Ding
Ning Ding
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Pre-trained models: Past, Present and Future
X Han*, Z Zhang*, N Ding*, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ...
AI Open, 2021
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, 2023
PTR: Prompt Tuning with Rules for Text Classification
X Han, W Zhao, N Ding, Z Liu, M Sun
Preprint, 2022
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification
S Hu, N Ding, H Wang, Z Liu, J Li, M Sun
ACL 2022, 2022
OpenPrompt: An Open-Source Framework for Prompt-Learning
N Ding, S Hu, W Zhao, Y Chen, Z Liu, HT Zheng, M Sun
ACL 2022, Best System Demonstration Paper Award, 2021
Few-NERD: A Few-Shot Named Entity Recognition Dataset
N Ding, G Xu, Y Chen, X Wang, X Han, P Xie, HT Zheng, Z Liu
ACL 2021, 2021
Tool Learning with Foundation Models
Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, Y Huang, C Xiao, ...
Preprint, 2023
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
EMNLP 2023, 2023
Prompt-learning for Fine-grained Entity Typing
N Ding, Y Chen, X Han, G Xu, P Xie, HT Zheng, Z Liu, J Li, HG Kim
EMNLP 2022 Findings, 2021
Modeling Relation Paths for Knowledge Graph Completion
Y Shen, N Ding, HT Zheng, Y Li, M Yang
TKDE, 2020
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
D Wang*, N Ding*, P Li, HT Zheng
ACL 2021, 2021
UltraFeedback: Boosting Language Models with High-quality Feedback
G Cui, L Yuan, N Ding, G Yao, W Zhu, Y Ni, G Xie, Z Liu, M Sun
ICML 2024, 2023
Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge
Z Li*, N Ding*, Z Liu, H Zheng, Y Shen
ACL 2019, 2019
Hierarchy-aware Global Model for Hierarchical Text Classification
J Zhou, C Ma, D Long, G Xu, N Ding, H Zhang, P Xie, G Liu
ACL 2020, 2020
Prototypical Verbalizer for Prompt-based Few-shot Tuning
G Cui, S Hu, N Ding, L Huang, Z Liu
ACL 2022, 2022
Event Detection with Trigger-Aware Lattice Neural Network
N Ding, Z Li, Z Liu, H Zheng, Z Lin
EMNLP 2019, 2019
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
J Yu, X Wang, S Tu, S Cao, D Zhang-Li, X Lv, H Peng, Z Yao, X Zhang, ...
ICLR 2024, 2023
Prototypical Representation Learning for Relation Extraction
N Ding, X Wang, Y Fu, G Xu, R Wang, P Xie, Y Shen, F Huang, HT Zheng, ...
ICLR 2021, 2021
Pre-trained models: Past, Present and Future. AI Open.
X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ...
Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning
Y Qin, X Wang, Y Su, Y Lin, N Ding, Z Liu, J Li, L Hou, P Li, M Sun, J Zhou
Preprint, 2021
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