Towards Large Language Model Organization: A Case Study on Abstractive Summarization. - Krisztián Boros; Masafumi Oyamada (IEEE Big Data, 2023)

Boosting classification reliability of NLP transformer models in the long run. - Zoltán Kmetty; Bence Kollanyi; Krisztián Boros (CoRR, 2023)

Boosting Classification Reliability of NLP Transformer Models in the Long Run - Challenges of Time in Opinion Prediction Regarding COVID-19 Vaccine. - Zoltán Kmetty; Bence Kollanyi; Krisztián Boros (SN Comput. Sci., 2025)

SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation. - Yuyang Dong; Nobuhiro Ueda; Krisztián Boros; Daiki Ito; Takuya Sera; Masafumi Oyamada (CoRR, 2025)