From google gemini to openai q*(q-star): A survey of resha** the generative artificial intelligence (ai) research landscape

TR McIntosh, T Susnjak, T Liu, P Watters… - arxiv preprint arxiv …, 2023 - arxiv.org
This comprehensive survey explored the evolving landscape of generative Artificial
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …

[HTML][HTML] From cobit to iso 42001: Evaluating cybersecurity frameworks for opportunities, risks, and regulatory compliance in commercializing large language models

TR McIntosh, T Susnjak, T Liu, P Watters, D Xu… - Computers & …, 2024 - Elsevier
This study investigated the integration readiness of four predominant cybersecurity
Governance, Risk and Compliance (GRC) frameworks–NIST CSF 2.0, COBIT 2019, ISO …

Inadequacies of large language model benchmarks in the era of generative artificial intelligence

TR McIntosh, T Susnjak, N Arachchilage, T Liu… - arxiv preprint arxiv …, 2024 - arxiv.org
The rapid rise in popularity of Large Language Models (LLMs) with emerging capabilities
has spurred public curiosity to evaluate and compare different LLMs, leading many …

[HTML][HTML] Game changers: A generative AI prompt protocol to enhance human-AI knowledge co-construction

J Robertson, C Ferreira, E Botha, K Oosthuizen - Business Horizons, 2024 - Elsevier
The democratization of powerful artificial intelligence (AI) tools, including ChatGPT, has
sparked the interest of business practitioners given their ability to fundamentally change the …

A systematic review of the limitations and associated opportunities of ChatGPT

N Cong-Lem, A Soyoof, D Tsering - International Journal of Human …, 2024 - Taylor & Francis
This systematic review explores the limitations and opportunities associated with ChatGPT's
application across various fields. Following a rigorous screening process of 485 studies …

Localvaluebench: A collaboratively built and extensible benchmark for evaluating localized value alignment and ethical safety in large language models

GI Meadows, NWL Lau, EA Susanto, CL Yu… - arxiv preprint arxiv …, 2024 - arxiv.org
The proliferation of large language models (LLMs) requires robust evaluation of their
alignment with local values and ethical standards, especially as existing benchmarks often …

Automating research synthesis with domain-specific large language model fine-tuning

T Susnjak, P Hwang, NH Reyes, ALC Barczak… - ACM Transactions on …, 2024 - dl.acm.org
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 …

[PDF][PDF] Enhancing accuracy in large language models through dynamic real-time information injection

Q Ouyang, S Wang, B Wang - 2023 - preprints.org
This study presents a novel approach to enhance Large Language Models (LLMs) like
Alpaca by dynamically integrating real-time information. This method addresses the issue of …

The inadequacy of reinforcement learning from human feedback-radicalizing large language models via semantic vulnerabilities

TR McIntosh, T Susnjak, T Liu, P Watters… - … on Cognitive and …, 2024 - ieeexplore.ieee.org
This study is an empirical investigation into the semantic vulnerabilities of four popular pre-
trained commercial Large Language Models (LLMs) to ideological manipulation. Using …

Analyzing and mitigating cultural hallucinations of commercial language models in turkish

Y Boztemir, N Çalışkan - Authorea Preprints, 2024 - techrxiv.org
In an era where artificial intelligence is increasingly interfacing with diverse cultural contexts,
the ability of language models to accurately represent and adapt to these contexts is of …