3 papers
cs.CL2026
Long-Context Encoder Models for Polish Language Understanding
SÅawomir Dadas, RafaÅ PoÅwiata, Marek KozÅowski +4
While decoder-only Large Language Models (LLMs) have recently dominated the NLP landscape, encoder-only architectures remain a cost-effective and parameter-efficient standard for d…
cs.CL2025
The PLLuM Instruction Corpus
Piotr PÄzik, Filip Å»arnecki, Konrad KaczyÅski +50
This paper describes the instruction dataset used to fine-tune a set of transformer-based large language models (LLMs) developed in the PLLuM (Polish Large Language Model) project.…
cs.CL2025
PLLuM: A Family of Polish Large Language Models
Jan KocoÅ, 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…