4 papers
SPHINX: First Explain, Then Explore
Nguyen Do, Tue M. Cao, Tien Van Do +3
Generating adversarial driving scenarios is critical for evaluating and improving autonomous vehicle decision-making systems in simulation. Recent approaches rely primarily on the…
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…
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…
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…