LLM-based Operating Systems for Automated Vehicles: A New Perspective

J Ge, C Chang, J Zhang, L Li, X Na… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The deployment of large language models (LLMs) brings challenges to intelligent systems
because its capability of integrating large-scale training data facilitates contextual reasoning …

[PDF][PDF] Efficient model compression and knowledge distillation on llama 2: Achieving high performance with reduced computational cost

Q Huangpu, H Gao - 2024 - files.osf.io
This study investigates the application of model compression and knowledge distillation
techniques to enhance the computational efficiency of LLama 2, a Large Language Model …

[PDF][PDF] Towards context-aware road user safety systems: Design explorations using eye-tracking, object detection, and GPT-4V

V Onkhar, L Kumaaravelu, D Dodou, JCF De Winter - 2024 - researchgate.net
With the rise of generative AI, it is important to identify the opportunities and limitations of
applying this technology to road safety applications. The current research explores the …

A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models

L Fan, L Ching-Hung, H Su, F Shanshan… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, the potential applications of Large Multimodal Models (LMMs) in fields such
as healthcare, social psychology, and industrial design have attracted wide research …

[PDF][PDF] Multimodal Integration in Large Language Models: A Case Study with Mistral LLM

F Hamzah, N Sulaiman - files.osf.io
This work presents significant advancements in the multimodal capabilities of the Mistral
8x7B model, a large language model designed with eight experts of seven billion …

[PDF][PDF] Measuring the Visual Hallucination in ChatGPT on Visually Deceptive Images

L Ping, Y Gu, L Feng - 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 …