most citedBoosting classification reliability of NLP transformer models in the long run

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2025

SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation

Nobuhiro Ueda, Yuyang Dong, Krisztián Boros +3

With the increasing adoption of Large Language Models (LLMs) and Vision-Language Models (VLMs), rich document analysis technologies for applications like Retrieval-Augmented Genera…

cs.CL2023★ 1 cited

Boosting classification reliability of NLP transformer models in the long run

Zoltán Kmetty, Bence Kollányi, Krisztián Boros

Transformer-based machine learning models have become an essential tool for many natural language processing (NLP) tasks since the introduction of the method. A common objective of…