Yuanchun Wang

According to our database, Yuanchun Wang authored at least 11 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Handling Students Dropouts in an LLM-driven Interactive Online Course Using Language Models.

Yuanchun Wang, Yiyang Fu, Jifan Yu, Daniel Zhang-Li, Zheyuan Zhang, Joy Lim Jia Yin, Yucheng Wang, Peng Zhou, Jing Zhang, Huiqin Liu

CoRR, August, 2025

LecEval: An Automated Metric for Multimodal Knowledge Acquisition in Multimedia Learning.

Joy Lim Jia Yin, Daniel Zhang-Li, Jifan Yu, Haoxuan Li, Shangqing Tu, Yuanchun Wang, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu

CoRR, May, 2025

SoAy: A Solution-based LLM API-using Methodology for Academic Information Seeking.

Yuanchun Wang, Jifan Yu, Zijun Yao, Jing Zhang, Yuyang Xie, Shangqing Tu, Yiyang Fu, Youhe Feng, Jinkai Zhang, Jingyao Zhang, Bowen Huang, Yuanyao Li, Huihui Yuan, Lei Hou, Juanzi Li, Jie Tang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

NHGMI: Heterogeneous graph multi-view infomax with node-wise contrasting samples selection.

Qing Li, Hang Ni, Yuanchun Wang

Knowl. Based Syst., 2024

From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents.

Jifan Yu, Zheyuan Zhang, Daniel Zhang-li, Shangqing Tu, Zhanxin Hao, Rui Miao Li, Haoxuan Li, Yuanchun Wang, Hanming Li, Linlu Gong, Jie Cao, Jiayin Lin, Jinchang Zhou, Fei Qin, Haohua Wang, Jianxiao Jiang, Lijun Deng, Yisi Zhan, Chaojun Xiao, Xusheng Dai, Xuan Yan, Nianyi Lin, Nan Zhang, Ruixin Ni, Yang Dang, Lei Hou, Yu Zhang, Xu Han, Manli Li, Juanzi Li, Zhiyuan Liu, Huiqin Liu, Maosong Sun

CoRR, 2024

A Solution-based LLM API-using Methodology for Academic Information Seeking.

Yuanchun Wang, Jifan Yu, Zijun Yao, Jing Zhang, Yuyang Xie, Shangqing Tu, Yiyang Fu, Youhe Feng, Jinkai Zhang, Jingyao Zhang, Bowen Huang, Yuanyao Li, Huihui Yuan, Lei Hou, Juanzi Li, Jie Tang

CoRR, 2024

Authorship style transfer with inverse transfer data augmentation.

Zhonghui Shao, Jing Zhang, Haoyang Li, Xinmei Huang, Chao Zhou, Yuanchun Wang, Jibing Gong, Cuiping Li, Hong Chen

AI Open, 2024

R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models.

Shangqing Tu, Yuanchun Wang, Jifan Yu, Yuyang Xie, Yaran Shi, Xiaozhi Wang, Jing Zhang, Lei Hou, Juanzi Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model.

Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Yang Yang, Hongyin Tang, Keqing He, Jiahao Liu, Jingang Wang, Shu Zhao, Peng Zhang, Jie Tang

CoRR, 2023

GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model.

Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method.

Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023