2 papers
cs.IR2026
MLPlatt: Simple Calibration Framework for Ranking Models
Piotr Bajger, Roman Dusek, Krzysztof Galias +3
Ranking models are extensively used in e-commerce for relevance estimation. These models often suffer from poor interpretability and no scale calibration, particularly when trained…
cs.CL2023
Improving Domain-Specific Retrieval by NLI Fine-Tuning
Roman Dušek, Aleksander Wawer, Christopher Galias +1
The aim of this article is to investigate the fine-tuning potential of natural language inference (NLI) data to improve information retrieval and ranking. We demonstrate this for b…