When llms meet cybersecurity: A systematic literature review

J Zhang, H Bu, H Wen, Y Chen, L Li, H Zhu - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid advancements in large language models (LLMs) have opened new avenues
across various fields, including cybersecurity, which faces an ever-evolving threat landscape …

Advancing Household Robotics: Deep Interactive Reinforcement Learning for Efficient Training and Enhanced Performance

A Soni, S Alla, S Dodda, H Volikatla - arXiv preprint arXiv:2405.18687, 2024 - arxiv.org
The market for domestic robots made to perform household chores is growing as these
robots relieve people of everyday responsibilities. Domestic robots are generally welcomed …

The Evolution of Football Betting-A Machine Learning Approach to Match Outcome Forecasting and Bookmaker Odds Estimation

P Mandadapu - arXiv preprint arXiv:2403.16282, 2024 - arxiv.org
This paper explores the significant history of professional football and the betting industry,
tracing its evolution from clandestine beginnings to a lucrative multi-million-pound …

Enhancing Music Genre Classification through Multi-Algorithm Analysis and User-Friendly Visualization

N Kamuni, D Panwar - arXiv preprint arXiv:2405.17413, 2024 - arxiv.org
The aim of this study is to teach an algorithm how to recognize different types of music.
Users will submit songs for analysis. Since the algorithm hasn't heard these songs before, it …

Optimizing Bio-energy Supply Chain to Achieve Alternative Energy Targets

J Thomas - arXiv preprint arXiv:2406.00056, 2024 - arxiv.org
In response to global warming and the dwindling reservoirs of fossil fuels, Thailand has
increasingly embraced alternative energy sources. Central to its energy development …

Beyond Human Norms: Unveiling Unique Values of Large Language Models through Interdisciplinary Approaches

P Biedma, X Yi, L Huang, M Sun, X Xie - arXiv preprint arXiv:2404.12744, 2024 - arxiv.org
Recent advancements in Large Language Models (LLMs) have revolutionized the AI field
but also pose potential safety and ethical risks. Deciphering LLMs' embedded values …

Exploring Quantum-Enhanced Machine Learning for Computer Vision: Applications and Insights on Noisy Intermediate-Scale Quantum Devices

P Mandadapu - arXiv preprint arXiv:2404.02177, 2024 - arxiv.org
As medium-scale quantum computers progress, the application of quantum algorithms
across diverse fields like simulating physical systems, chemistry, optimization, and …

Optimizing Photometric Light Curve Analysis: Evaluating Scipy's Minimize Function for Eclipse Mapping of Cataclysmic Variables

A Kumar, MMT Ayyalasomayajula, D Panwar… - arXiv preprint arXiv …, 2024 - arxiv.org
With a particular focus on Scipy's minimize function the eclipse mapping method is
thoroughly researched and implemented utilizing Python and essential libraries. Many …

The Hostility of LLMs Towards Humans on Borderline Controversial Topics When Induced with Maliciously Crafted Prompts

C Hautzenberger, S Muellen - Authorea Preprints, 2024 - techrxiv.org
Generative artificial intelligence systems, such as OpenAI ChatGPT and Anthropic Claude,
have shown remarkable capabilities in generating human-like text responses, raising …

Enhancing Question Answering Systems with Rephrasing Strategies: A Study on BERT Sensitivity and Refinement Techniques

P Sunkara - 2024 - preprints.org
In this study, we aim to explore whether rephrasing enhances the performance of advanced
question answering systems in terms of accuracy. Initially, we analyze the effectiveness of …