Enhancing Data Annotation for Student Models: A Self-Training Approach with Large Language Models.

Gilad Fuchs|Alexander Nus|Yotam Eshel|Bracha Shapira


Anthology ID:DBLP:conf/www/FuchsNES25
Volume:Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:2706-2712
URL:https://doi.org/10.1145/3701716.3717862
DOI:https://doi.org/10.1145/3701716.3717862
DBLP:conf/www/FuchsNES25
BibTeX:
@inproceedings{fuchs-2025-enhancing, author = {Gilad Fuchs and Alexander Nus and Yotam Eshel and Bracha Shapira}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{Enhancing Data Annotation for Student Models: A Self-Training Approach with Large Language Models}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}}, pages = {2706--2712}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701716.3717862}, doi = {https://doi.org/10.1145/3701716.3717862} }