3 papers
cs.AI2024
VLASCD: A Visual Language Action Model for Simultaneous Chatting and Decision Making
Zuojin Tang, Bin Hu, Chenyang Zhao +3
Recent large pretrained models such as LLMs (e.g., GPT series) and VLAs (e.g., OpenVLA) have achieved notable progress on multimodal tasks, yet they are built upon a multi-input si…
cs.CL2024
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
Shengding Hu, Yuge Tu, Xu Han +22
The burgeoning interest in developing Large Language Models (LLMs) with up to trillion parameters has been met with concerns regarding resource efficiency and practical expense, pa…
cs.AI2023
Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents
Zihao Zhou, Bin Hu, Chenyang Zhao +2
Recent studies have uncovered the potential of Large Language Models (LLMs) in addressing complex sequential decision-making tasks through the provision of high-level instructions.…