22 citations · 22 across the 2 of their papers we have counts for
2 papers
cs.CL2026
EstLLM: Enhancing Estonian Capabilities in Multilingual LLMs via Continued Pretraining and Post-Training
Aleksei Dorkin, Taido Purason, Emil Kalbaliyev +7
Large language models (LLMs) are predominantly trained on English-centric data, resulting in uneven performance for smaller languages. We study whether continued pretraining (CPT)…
cs.CL2020★ 22 cited
Structure-Tags Improve Text Classification for Scholarly Document Quality Prediction
Gideon Maillette de Buy Wenniger, Thomas van Dongen, Eleri Aedmaa +3
Training recurrent neural networks on long texts, in particular scholarly documents, causes problems for learning. While hierarchical attention networks (HANs) are effective in sol…