دنبال کردن
Yankai Lin
Yankai Lin
Associate Professor (Tenure Track), Gaoling School of AI, Renmin University of China
ایمیل تأیید شده در ruc.edu.cn - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Learning Entity and Relation Embeddings for Knowledge Graph Completion‏
L Yankai, L Zhiyuan, S Maosong, L Yang, Z Xuan‏
The 29th AAAI Conference on Artificial Intelligence, 2015‏
46632015
Measuring and relieving the over-smoothing problem for graph neural networks from the topological view‏
D Chen, Y Lin, W Li, P Li, J Zhou, X Sun‏
Proceedings of the AAAI conference on artificial intelligence 34 (04), 3438-3445, 2020‏
12782020
Neural relation extraction with selective attention over instances‏
Y Lin, S Shen, Z Liu, H Luan, M Sun‏
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016‏
12652016
A survey on large language model based autonomous agents‏
L Wang, C Ma, X Feng, Z Zhang, H Yang, J Zhang, Z Chen, J Tang, ...‏
Frontiers of Computer Science 18 (6), 186345, 2024‏
10062024
Modeling relation paths for representation learning of knowledge bases‏
Y Lin, Z Liu, M Sun‏
Proceedings of EMNLP, 2015‏
7972015
DocRED: A large-scale document-level relation extraction dataset‏
Y Yao, D Ye, P Li, X Han, Y Lin, Z Liu, Z Liu, L Huang, J Zhou, M Sun‏
ACL 2019, 2019‏
6372019
Toolllm: Facilitating large language models to master 16000+ real-world apis‏
Y Qin, S Liang, Y Ye, K Zhu, L Yan, Y Lu, Y Lin, X Cong, X Tang, B Qian, ...‏
arXiv preprint arXiv:2307.16789, 2023‏
5242023
OpenKE: An open toolkit for knowledge embedding‏
X Han, S Cao, X Lv, Y Lin, Z Liu, M Sun, J Li‏
Proceedings of the 2018 conference on empirical methods in natural language …, 2018‏
4352018
Neural sentiment classification with user and product attention‏
H Chen, M Sun, C Tu, Y Lin, Z Liu‏
Proceedings of the 2016 conference on empirical methods in natural language …, 2016‏
3892016
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
3132024
Learning from Context or Names? An Empirical Study on Neural Relation Extraction‏
H Peng, T Gao, X Han, Y Lin, P Li, Z Liu, M Sun, J Zhou‏
EMNLP 2020, 2020‏
2182020
MAVEN: A Massive General Domain Event Detection Dataset‏
X Wang, Z Wang, X Han, W Jiang, R Han, Z Liu, J Li, P Li, Y Lin, J Zhou‏
EMNLP 2020, 2020‏
2042020
Coreferential Reasoning Learning for Language Representation‏
D Ye, Y Lin, J Du, Z Liu, M Sun, Z Liu‏
EMNLP 2020, 2020‏
2002020
Denoising distantly supervised open-domain question answering‏
Y Lin, H Ji, Z Liu, M Sun‏
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018‏
1942018
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction‏
X Han, T Gao, Y Lin, H Peng, Y Yang, C Xiao, Z Liu, P Li, M Sun, J Zhou‏
AACL 2020, 2020‏
1812020
Graph neural networks with generated parameters for relation extraction‏
H Zhu, Y Lin, Z Liu, J Fu, T Chua, M Sun‏
ACL, 2019‏
1792019
Representation learning for natural language processing‏
Z Liu, Y Lin, M Sun‏
Springer Nature, 2023‏
1662023
Packed levitated marker for entity and relation extraction‏
D Ye, Y Lin, P Li, M Sun‏
arXiv preprint arXiv:2109.06067, 2021‏
1632021
On transferability of prompt tuning for natural language processing‏
Y Su, X Wang, Y Qin, CM Chan, Y Lin, H Wang, K Wen, Z Liu, P Li, J Li, ...‏
arXiv preprint arXiv:2111.06719, 2021‏
1502021
Don't make your LLM an evaluation benchmark cheater‏
K Zhou, Y Zhu, Z Chen, W Chen, WX Zhao, X Chen, Y Lin, JR Wen, J Han‏
arXiv preprint arXiv:2311.01964, 2023‏
1382023
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20