36 citations · 48 across the 4 of their papers we have counts for
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cs.CL2024★ 36 cited
Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems
Robert Lakatos, Peter Pollner, Andras Hajdu +1
The development of generative large language models (G-LLM) opened up new opportunities for the development of new types of knowledge-based systems similar to ChatGPT, Bing, or Gem…
cs.CL2023★ 2 cited
A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews
Robert Lakatos, Gergo Bogacsovics, Balazs Harangi +5
The efficiency of natural language processing has improved dramatically with the advent of machine learning models, particularly neural network-based solutions. However, some tasks…