Exploring autonomous agents through the lens of large language models: A review
S Barua - arXiv preprint arXiv:2404.04442, 2024 - arxiv.org
Large Language Models (LLMs) are transforming artificial intelligence, enabling
autonomous agents to perform diverse tasks across various domains. These agents …
autonomous agents to perform diverse tasks across various domains. These agents …
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 …
Exploring Backdoor Attacks against Large Language Model-based Decision Making
Large Language Models (LLMs) have shown significant promise in decision-making tasks
when fine-tuned on specific applications, leveraging their inherent common sense and …
when fine-tuned on specific applications, leveraging their inherent common sense and …
Optimizing Autonomous Driving for Safety: A Human-Centric Approach with LLM-Enhanced RLHF
Reinforcement Learning from Human Feedback (RLHF) is popular in large language
models (LLMs), whereas traditional Reinforcement Learning (RL) often falls short. Current …
models (LLMs), whereas traditional Reinforcement Learning (RL) often falls short. Current …