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[HTML][HTML] When llms meet cybersecurity: A systematic literature review
The rapid development of large language models (LLMs) has opened new avenues across
various fields, including cybersecurity, which faces an evolving threat landscape and …
various fields, including cybersecurity, which faces an evolving threat landscape and …
Large language models for uavs: Current state and pathways to the future
Unmanned Aerial Vehicles (UAVs) have emerged as a transformative technology across
diverse sectors, offering adaptable solutions to complex challenges in both military and …
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 …
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 …
have shown remarkable capabilities in generating human-like text responses, raising …
Advancing Household Robotics: Deep Interactive Reinforcement Learning for Efficient Training and Enhanced Performance
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 …
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 …
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 …
increasingly embraced alternative energy sources. Central to its energy development …
Beyond human norms: Unveiling unique values of large language models through interdisciplinary approaches
Recent advancements in Large Language Models (LLMs) have revolutionized the AI field
but also pose potential safety and ethical risks. Deciphering LLMs' embedded values …
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 …
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 …
natural language tasks since its November 2022 rollout by using vast datasets with trillions …