2025
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs
ACL 2025finding
In search settings, calibrating the scores during the ranking process to quantities such as click-through rates or relevance levels enhances a system’s usefulness and trustworthiness for downstream users. While previous research has improved this notion of calibration for low complexity learning-to-…