FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions

bibtex long conference paper

Authors: Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn Lawrie, Luca Soldaini

Appeared in: Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025)

BibTeX @inproceedings{weller:naacl2025-followir, author = {Weller, Orion and Chang, Benjamin and MacAvaney, Sean and Lo, Kyle and Cohan, Arman and Van Durme, Benjamin and Lawrie, Dawn and Soldaini, Luca}, title = {FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions}, booktitle = {Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics}, year = {2025}, pages = {11926--11942} }