2 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
VLA-RAIL: A Real-Time Asynchronous Inference Linker for VLA Models and Robots
Yongsheng Zhao, Lei Zhao, Baoping Cheng +3
Vision-Language-Action (VLA) models have achieved remarkable breakthroughs in robotics, with the action chunk playing a dominant role in these advances. Given the real-time and con…
Training Report of TeleChat3-MoE
Xinzhang Liu, Chao Wang, Zhihao Yang +51
TeleChat3-MoE is the latest series of TeleChat large language models, featuring a Mixture-of-Experts (MoE) architecture with parameter counts ranging from 105 billion to over one t…
CannyEdit: Selective Canny Control and Dual-Prompt Guidance for Training-Free Image Editing
Weiyan Xie, Han Gao, Didan Deng +4
Recent advances in text-to-image (T2I) models have enabled training-free regional image editing by leveraging the generative priors of foundation models. However, existing methods…
InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd Behavior
Huisheng Wang, Zhuoshi Pan, Hangjing Zhang +3
Aligning Large Language Models (LLMs) with investor decision-making processes under herd behavior is a critical challenge in behavioral finance, which grapples with a fundamental l…