8 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 8 cited
LlamBERT: Large-scale low-cost data annotation in NLP
Bálint Csanády, Lajos Muzsai, Péter Vedres +2
Large Language Models (LLMs), such as GPT-4 and Llama 2, show remarkable proficiency in a wide range of natural language processing (NLP) tasks. Despite their effectiveness, the hi…
stat.ML2024★ 1 cited
Deep learning the Hurst parameter of linear fractional processes and assessing its reliability
Dániel Boros, Bálint Csanády, Iván Ivkovic +3
This research explores the reliability of deep learning, specifically Long Short-Term Memory (LSTM) networks, for estimating the Hurst parameter in fractional stochastic processes.…