No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient Lengths.
Moyu Zhang|Xinning Zhu|Chunhong Zhang|Feng Pan|Wenchen Qian|Hui Zhao
| Anthology ID: | DBLP:conf/cikm/ZhangZZ0QZ23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3226-3235 |
| URL: | https://doi.org/10.1145/3583780.3614988 |
| DOI: | https://doi.org/10.1145/3583780.3614988 |
| DBLP: | conf/cikm/ZhangZZ0QZ23 |
| BibTeX: |
@inproceedings{zhang-2023-length,
author = {Moyu Zhang and
Xinning Zhu and
Chunhong Zhang and
Feng Pan and
Wenchen Qian and
Hui Zhao},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient Lengths}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {3226--3235},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614988},
doi = {https://doi.org/10.1145/3583780.3614988}
}