[HTML][HTML] When llms meet cybersecurity: A systematic literature review

J Zhang, H Bu, H Wen, Y Liu, H Fei… - …, 2025 - cybersecurity.springeropen.com
The rapid development of large language models (LLMs) has opened new avenues across
various fields, including cybersecurity, which faces an evolving threat landscape and …

Large language models for uavs: Current state and pathways to the future

S Javaid, H Fahim, B He… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) have emerged as a transformative technology across
diverse sectors, offering adaptable solutions to complex challenges in both military and …

Automated summarization of multiple document abstracts and contents using large language models

O Langston, B Ashford - Authorea Preprints, 2024 - techrxiv.org
The exponential growth of textual data across various domains necessitates the
development of efficient and accurate summarization techniques to facilitate quick …

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 …

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 …

[PDF][PDF] Measuring the visual hallucination in chatgpt on visually deceptive images

L **, Y Gu, L Feng - Preprint https://doi. org/10.31219/osf. io/v23fr, 2024 - files.osf.io
The evaluation of visual hallucinations in multimodal AI models is novel and significant
because it addresses a critical gap in understanding how AI systems interpret deceptive …

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 **e - 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 …

Optimizing Nurse Scheduling: A Supply Chain Approach for Healthcare Institutions

J Thomas - arxiv preprint arxiv:2407.11195, 2024 - arxiv.org
When managing an organization, planners often encounter numerous challenging
scenarios. In such instances, relying solely on intuition or managerial experience may not …

Comparative analysis of ChatGPT-4 and LLaMA: Performance evaluation on text summarization, data analysis, and question answering

SR Bogireddy, N Dasari - 2024 15th International Conference …, 2024 - ieeexplore.ieee.org
ChatGPT has demonstrated the strong performance of large language models (LLMs) in
natural language tasks since its November 2022 rollout by using vast datasets with trillions …