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 …

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 …

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

L Ping, 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 …

Enhancing Study Space Utilization at UCL: Leveraging IoT Data and Machine Learning

S Chintala, M Jindal, SR Mallreddy… - Journal of Electrical …, 2024 - search.proquest.com
Abstract University College London (UCL) has more than 51,000 students along with a
challenge to find available study space. UCL has improved its Internet of Things (loT) …

Optimizing Machine Translation: A Benchmarking Suite for Efficiency and Quality Enhancement

N Kamuni, S Dodda, S Chintala… - 2024 International …, 2024 - ieeexplore.ieee.org
One of the core functions of Natural Language Processing (NLP) is machine translation—
which is essential for bridging linguistic and cultural communication gaps. Nevertheless …

Enhancing Microservice Reliability in Cloud Environments Using Machine Learning for Anomaly Detection

S Dodda, S Chintala, N Kunchakuri… - 2024 International …, 2024 - ieeexplore.ieee.org
Microservices-based applications benefit from rapid growth and development in cloud
environments with container technologies such as Docker. However, assuring the reliability …

Developing an Adaptive Educational Chatbot for Personalized SQL Tutoring

S Chintala, N Kunchakuri, N Kamuni… - 2024 International …, 2024 - ieeexplore.ieee.org
Today chatbots are the most popular assistant tool we come across while surfing any
website, browser, application. Chatbots are multi-functional interactive computer programs …

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 …

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 …