Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach.

Yuxiang Guo|Shuanghong Shen|Qi Liu|Zhenya Huang|Linbo Zhu|Yu Su|Enhong Chen


Anthology ID:DBLP:conf/cikm/GuoS0HZ0C24
Volume:Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
Year:2024
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:727-736
URL:https://doi.org/10.1145/3627673.3679664
DOI:https://doi.org/10.1145/3627673.3679664
DBLP:conf/cikm/GuoS0HZ0C24
BibTeX:
@inproceedings{guo-2024-mitigating, author = {Yuxiang Guo and Shuanghong Shen and Qi Liu and Zhenya Huang and Linbo Zhu and Yu Su and Enhong Chen}, editor = {Edoardo Serra and Francesca Spezzano}, title = {{Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach}}, booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}}, pages = {727--736}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3627673.3679664}, doi = {https://doi.org/10.1145/3627673.3679664} }