Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMs.

Julia Belikova|Konstantin Polev|Rauf Parchiev|Dmitry Simakov


Anthology ID:DBLP:conf/sigir/BelikovaPPS25
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:4385-4389
URL:https://doi.org/10.1145/3726302.3731969
DOI:https://doi.org/10.1145/3726302.3731969
DBLP:conf/sigir/BelikovaPPS25
BibTeX:
@inproceedings{belikova-2025-dataefficient, author = {Julia Belikova and Konstantin Polev and Rauf Parchiev and Dmitry Simakov}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMs}}, 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 = {4385--4389}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3731969}, doi = {https://doi.org/10.1145/3726302.3731969} }