3 papers
cs.AI2025
Error-Driven Prompt Optimization for Arithmetic Reasoning
Árpád Pándy, Róbert Lakatos, András Hajdu
Recent advancements in artificial intelligence have sparked interest in industrial agents capable of supporting analysts in regulated sectors, such as finance and healthcare, withi…
cs.CL2024
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.CV2023
A multimodal deep learning architecture for smoking detection with a small data approach
Robert Lakatos, Peter Pollner, Andras Hajdu +1
Introduction: Covert tobacco advertisements often raise regulatory measures. This paper presents that artificial intelligence, particularly deep learning, has great potential for d…