A Quantum Annealing Instance Selection Approach for Efficient and Effective Transformer Fine-Tuning.

Andrea Pasin|Washington Cunha|Marcos André Gonçalves|Nicola Ferro


Anthology ID:DBLP:conf/ictir/PasinCG024
Volume:Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2024, Washington, DC, USA, 13 July 2024
Year:2024
Venue:International Conference on the Theory of Information Retrieval (ICTIR)
Publisher:ACM
Pages:205-214
URL:https://doi.org/10.1145/3664190.3672515
DOI:https://doi.org/10.1145/3664190.3672515
DBLP:conf/ictir/PasinCG024
BibTeX:
@inproceedings{pasin-2024-quantum, author = {Andrea Pasin and Washington Cunha and Marcos Andr\'{e} Gon\c{c}alves and Nicola Ferro}, editor = {Harrie Oosterhuis and Hannah Bast and Chenyan Xiong}, title = {{A Quantum Annealing Instance Selection Approach for Efficient and Effective Transformer Fine-Tuning}}, booktitle = {{Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2024, Washington, DC, USA, 13 July 2024}}, pages = {205--214}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3664190.3672515}, doi = {https://doi.org/10.1145/3664190.3672515} }