Large Models are Good Annotators for Zero-Shot Learning.

Qingzhi He|Yizhen Jia|Wentong Li|Shengcai Liao|Rong Quan|Tong Cui|Jie Qin


Anthology ID:DBLP:conf/sigir/HeJ0LQCQ25
Volume:Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
Year:2025
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:2764-2768
URL:https://doi.org/10.1145/3726302.3730219
DOI:https://doi.org/10.1145/3726302.3730219
DBLP:conf/sigir/HeJ0LQCQ25
BibTeX:
@inproceedings{he-2025-large, author = {Qingzhi He and Yizhen Jia and Wentong Li and Shengcai Liao and Rong Quan and Tong Cui and Jie Qin}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{Large Models are Good Annotators for Zero-Shot Learning}}, booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}}, pages = {2764--2768}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3730219}, doi = {https://doi.org/10.1145/3726302.3730219} }