If llm is the wizard, then code is the wand: A survey on how code empowers large language models to serve as intelligent agents
The prominent large language models (LLMs) of today differ from past language models not
only in size, but also in the fact that they are trained on a combination of natural language …
only in size, but also in the fact that they are trained on a combination of natural language …
Towards knowledge-driven autonomous driving
This paper explores the emerging knowledge-driven autonomous driving technologies. Our
investigation highlights the limitations of current autonomous driving systems, in particular …
investigation highlights the limitations of current autonomous driving systems, in particular …
Rag-driver: Generalisable driving explanations with retrieval-augmented in-context learning in multi-modal large language model
Robots powered by'blackbox'models need to provide human-understandable explanations
which we can trust. Hence, explainability plays a critical role in trustworthy autonomous …
which we can trust. Hence, explainability plays a critical role in trustworthy autonomous …
A survey of neural code intelligence: Paradigms, advances and beyond
Neural Code Intelligence--leveraging deep learning to understand, generate, and optimize
code--holds immense potential for transformative impacts on the whole society. Bridging the …
code--holds immense potential for transformative impacts on the whole society. Bridging the …
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding
Vision-language generative AI has demonstrated remarkable promise for empowering cross-
modal scene understanding of autonomous driving and high-definition (HD) map systems …
modal scene understanding of autonomous driving and high-definition (HD) map systems …
Why solving multi-agent path finding with large language model has not succeeded yet
With the explosive influence caused by the success of large language models (LLM) like
ChatGPT and GPT-4, there has been an extensive amount of recent work showing that …
ChatGPT and GPT-4, there has been an extensive amount of recent work showing that …
Behavior generation with latent actions
Generative modeling of complex behaviors from labeled datasets has been a longstanding
problem in decision making. Unlike language or image generation, decision making …
problem in decision making. Unlike language or image generation, decision making …
Graphad: Interaction scene graph for end-to-end autonomous driving
Modeling complicated interactions among the ego-vehicle, road agents, and map elements
has been a crucial part for safety-critical autonomous driving. Previous works on end-to-end …
has been a crucial part for safety-critical autonomous driving. Previous works on end-to-end …
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives
Foundation models have indeed made a profound impact on various fields, emerging as
pivotal components that significantly shape the capabilities of intelligent systems. In the …
pivotal components that significantly shape the capabilities of intelligent systems. In the …
DrPlanner: Diagnosis and Repair of Motion Planners Using Large Language Models
Motion planners are essential for the safe operation of automated vehicles across various
scenarios. However, no motion planning algorithm has achieved perfection in the literature …
scenarios. However, no motion planning algorithm has achieved perfection in the literature …