3 papers
cs.CV2026
IJCB-AFMFR 2026: Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data
Tahar Chettaoui, Guray Ozgur, Eduarda Caldeira +13
This paper presents a summary of the Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data (AFMFR), held at the 2026 International Joint Conf…
cs.CL2025
Full-Parameter Continual Pretraining of Gemma2: Insights into Fluency and Domain Knowledge
Vytenis Šliogeris, Povilas Daniušis, Artūras Nakvosas
In this technical report, we empirically investigate the relationship between linguistic fluency and domain knowledge in the context of continual learning with large language model…
cs.CL2024
Open Llama2 Model for the Lithuanian Language
ArtÅ«ras Nakvosas, Povilas DaniuÅ¡is, Vytas MuleviÄius
In this paper, we propose and describe the first open Llama2 large language models (LLMs) for the Lithuanian language, including an accompanying question/answer (Q/A) dataset and t…