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.CL2025
PLLuM: A Family of Polish Large Language Models
Jan Kocoń, Maciej Piasecki, Arkadiusz Janz +96
Large Language Models (LLMs) play a central role in modern artificial intelligence, yet their development has been primarily focused on English, resulting in limited support for ot…