Hang Li

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 9

Top Topics

Adaptive Learning

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Top Venues

Publications

Hang Li, Tianlong Xu, Chaoli Zhang, Eason Chen, Jing Liang, Xing Fan, Haoyang Li, Jiliang Tang, Qingsong Wen
Bringing Generative AI to Adaptive Learning in Education. CoRR (2024)
Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen
Automate Knowledge Concept Tagging on Math Questions with LLMs. CoRR (2024)
Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen
Large Language Models for Education: A Survey and Outlook. CoRR (2024)
Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen
Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever. CoRR (2024)
Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu
Content Knowledge Identification with Multi-agent Large Language Models (LLMs). AIED (2) (2024)
Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu
Content Knowledge Identification with Multi-Agent Large Language Models (LLMs). CoRR (2024)
Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu
Are Large Language Models (LLMs) Good Social Predictors? CoRR (2024)
Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. SIGKDD Explor. 25 (2) (2023)
Geri Skenderi, Hang Li, Jiliang Tang, Marco Cristani
Graph-level Representation Learning with Joint-Embedding Predictive Architectures. CoRR (2023)