92 citations · 167 across the 6 of their papers we have counts for
6 papers
Which LoRA? An Empirical Study on the Effectiveness of LoRA Techniques During Multilingual Instruction Tuning
Thamali Wijewardhana, Napoleon H. Reyes, Surangika Ranathunga
We investigate whether commonly available LoRA variants have an advantage over basic LoRA in multilingual instruction tuning. Experiments involving LoRA and four other variants on…
Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligence
Teo Susnjak, Timothy R. McIntosh, Andre L. C. Barczak +4
In this study, we explored the progression trajectories of artificial intelligence (AI) systems through the lens of complexity theory. We challenged the conventional linear and exp…
Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning
Teo Susnjak, Peter Hwang, Napoleon H. Reyes +3
This research pioneers the use of fine-tuned Large Language Models (LLMs) to automate Systematic Literature Reviews (SLRs), presenting a significant and novel contribution in integ…
RGB-D And Thermal Sensor Fusion: A Systematic Literature Review
Martin Brenner, Napoleon H. Reyes, Teo Susnjak +1
In the last decade, the computer vision field has seen significant progress in multimodal data fusion and learning, where multiple sensors, including depth, infrared, and visual, a…
Towards Asteroid Detection in Microlensing Surveys with Deep Learning
Preeti Cowan, Ian A. Bond, Napoleon H. Reyes
Asteroids are an indelible part of most astronomical surveys though only a few surveys are dedicated to their detection. Over the years, high cadence microlensing surveys have amas…
Assessment of the Local Tchebichef Moments Method for Texture Classification by Fine Tuning Extraction Parameters
Andre Barczak, Napoleon Reyes, Teo Susnjak
In this paper we use machine learning to study the application of Local Tchebichef Moments (LTM) to the problem of texture classification. The original LTM method was proposed by M…