FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsOrion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn Lawrie, Luca Soldainihttps://arxiv.org/abs/2403.15246
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsModern Large Language Models (LLMs) are capable of following long and complex instructions that enable a diverse amount of user tasks. However, despite Information Retrieval (IR) models using LLMs as the backbone of their architectures, nearly all of them still only take queries as input, with no instructions. For the handful of recent models that do take instructions, it's unclear how they use them. We introduce our dataset FollowIR, which contains a rigorous instruction evaluation benchmark a…