Core Concepts
This paper introduces a novel score refinement method for conformal information retrieval that significantly reduces the size of retrieved sets while preserving statistical guarantees, enhancing efficiency without sacrificing accuracy.
Intrator, Y., Cohen, R., Kelner, O., Goldenberg, R., Rivlin, E., & Freedman, D. (2024). Streamlining Conformal Information Retrieval via Score Refinement. arXiv preprint arXiv:2410.02914.
This paper addresses the challenge of large prediction sets in conformal prediction for information retrieval, aiming to improve efficiency without compromising the statistical guarantees provided by conformal methods.