[HTML][HTML] A survey on large language model (llm) security and privacy: The good, the bad, and the ugly
Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …
natural language understanding and generation. They possess deep language …
A review on large Language Models: Architectures, applications, taxonomies, open issues and challenges
Large Language Models (LLMs) recently demonstrated extraordinary capability in various
natural language processing (NLP) tasks including language translation, text generation …
natural language processing (NLP) tasks including language translation, text generation …
Drivelm: Driving with graph visual question answering
We study how vision-language models (VLMs) trained on web-scale data can be integrated
into end-to-end driving systems to boost generalization and enable interactivity with human …
into end-to-end driving systems to boost generalization and enable interactivity with human …
Vision language models in autonomous driving and intelligent transportation systems
X Zhou, M Liu, BL Zagar, E Yurtsever… - ar** by integrating large language model and cartographic tools
The map** process generally involves intricate operations, such as symbol design, layout
design, and text annotation, demanding a high level of professional expertise. The high …
design, and text annotation, demanding a high level of professional expertise. The high …
Driving everywhere with large language model policy adaptation
Adapting driving behavior to new environments customs and laws is a long-standing
problem in autonomous driving precluding the widespread deployment of autonomous …
problem in autonomous driving precluding the widespread deployment of autonomous …
Follow the rules: reasoning for video anomaly detection with large language models
Abstract Video Anomaly Detection (VAD) is crucial for applications such as security
surveillance and autonomous driving. However, existing VAD methods provide little …
surveillance and autonomous driving. However, existing VAD methods provide little …
Real-time anomaly detection and reactive planning with large language models
Foundation models, eg, large language models (LLMs), trained on internet-scale data
possess zero-shot generalization capabilities that make them a promising technology …
possess zero-shot generalization capabilities that make them a promising technology …
Large models for intelligent transportation systems and autonomous vehicles: A survey
Large models are widely used in intelligent transportation systems (ITS) and autonomous
vehicles (AV) due to their excellent new capabilities such as intelligence emergence …
vehicles (AV) due to their excellent new capabilities such as intelligence emergence …