Yankai Lin

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	Toate	Din 2020
Referințe bibliografice	17112	14933
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Zhiyuan LiuAssociate Professor, Tsinghua UniversityAdresă de e-mail confirmată pe tsinghua.edu.cn
Maosong SunProfessor of Computer Science and Technology, Tsinghua UniversityAdresă de e-mail confirmată pe tsinghua.edu.cn
Peng LIInstitute for AI Industry Research (AIR), Tsinghua UniversityAdresă de e-mail confirmată pe air.tsinghua.edu.cn
Xu HanTsinghua UniversityAdresă de e-mail confirmată pe mails.tsinghua.edu.cn
Zhou JieWeChat AI - Pattern Recognition CenterAdresă de e-mail confirmată pe tencent.com
Yujia QinByteDanceAdresă de e-mail confirmată pe bytedance.com
Xu SunAssociate Professor, Peking UniversityAdresă de e-mail confirmată pe pku.edu.cn
Ji-Rong WenRenmin University of ChinaAdresă de e-mail confirmată pe ruc.edu.cn
Xu Chen 陈旭Tenure-Track Associate Professor, Renmin University of ChinaAdresă de e-mail confirmată pe ruc.edu.cn
Juanzi LiTsinghua UniversityAdresă de e-mail confirmată pe tsinghua.edu.cn
Xin CongTsinghua UniversityAdresă de e-mail confirmată pe tsinghua.edu.cn
Ning DingTsinghua UniversityAdresă de e-mail confirmată pe mail.tsinghua.edu.cn
Wenkai YangRenmin University of ChinaAdresă de e-mail confirmată pe ruc.edu.cn
Lei Hou (侯磊)Tsinghua UniversityAdresă de e-mail confirmată pe tsinghua.edu.cn
Wayne Xin ZhaoProfessor, Renmin University of ChinaAdresă de e-mail confirmată pe ruc.edu.cn
Zhenghao LiuNortheastern UniversityAdresă de e-mail confirmată pe mail.neu.edu.cn
Zhewei WeiRenmin University of ChinaAdresă de e-mail confirmată pe ruc.edu.cn
Ganqu CuiTsinghua UniversityAdresă de e-mail confirmată pe mails.tsinghua.edu.cn
Zhong Zhang (张众)Tsinghua UniversityAdresă de e-mail confirmată pe tsinghua.edu.cn
Tat-Seng ChuaNational University of SingaporeAdresă de e-mail confirmată pe comp.nus.edu.sg

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Yankai Lin

Associate Professor (Tenure Track), Gaoling School of AI, Renmin University of China

Adresă de e-mail confirmată pe ruc.edu.cn - Pagina de pornire

Natural Language Processing Large Language Models


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	4679	2015
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	1299	2020
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	1266	2016
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	1037	2024
Modeling relation paths for representation learning of knowledge bases Y Lin, Z Liu, M Sun Proceedings of EMNLP, 2015	800	2015
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	638	2019
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	543	2023
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	438	2018
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	389	2016
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	318	2024
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	220	2020
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	206	2020
Coreferential Reasoning Learning for Language Representation D Ye, Y Lin, J Du, Z Liu, M Sun, Z Liu EMNLP 2020, 2020	201	2020
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	195	2018
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	184	2020
Graph neural networks with generated parameters for relation extraction H Zhu, Y Lin, Z Liu, J Fu, T Chua, M Sun ACL, 2019	178	2019
Representation learning for natural language processing Z Liu, Y Lin, M Sun Springer Nature, 2023	168	2023
Packed levitated marker for entity and relation extraction D Ye, Y Lin, P Li, M Sun arXiv preprint arXiv:2109.06067, 2021	164	2021
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	152	2021
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	140	2023

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