2025
ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
EMNLP 2025
Large Action models are essential for enabling autonomous agents to perform complex tasks. However, training such models remains challenging due to the diversity of agent environments and the complexity of noisy agentic data. Existing infrastructure offers limited support for scalable, agent-specifi