output
20202026
most citedInvestigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems

36 citations

6 papers

quant-ph2026

Wave packet motion in a quantized electromagnetic field: Analytic results

Szabolcs Hack, Béla Gábor Pusztai, Krisztina Joós +3

We investigate the dynamics of a charged particle interacting with a multimode quantized electromagnetic field and obtain an analytic solution for the full electron--field system.…

math.CO2024

Partitions of Graphs into Special Bipartite Graphs

Lajos Győrffy, András London, Gábor V. Nagy +1

We study the problem of partitioning the edge set of the complete graph into bipartite subgraphs under certain constraints defined by forbidden subgraphs. These constraints lead to…

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…

quant-ph2023★ 4 cited

Parametric model for high-order harmonic generation with quantized fields

Ákos Gombkötő, Sándor Varró, Béla Gábor Pusztai +4

A quantum optical model for the high-order harmonic generation is presented, in which both the exciting field and the high harmonic modes are quantized, while the target material a…

cs.CV2023★ 10 cited

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…

stat.AP2020★ 3 cited

Bibliometric indices as a measure of performance and competitive balance in the knockout stage of the UEFA Champions League

László Csató, Dóra Gréta Petróczy

We argue for the application of bibliometric indices to quantify the long-term uncertainty of outcome in sports. The Euclidean index is proposed to reward quality over quantity, wh…