STAgent: Agentic LLM for Spatio-Temporal Tasks

This paper introduces STAgent, a specialized large language model designed for spatio-temporal understanding and complex task solving, such as itinerary planning. The key contributions are a stable tool environment, a hierarchical data curation framework, and a cascaded training recipe. The paper's significance lies in its approach to agentic LLMs, particularly in the context of spatio-temporal reasoning, and its potential for practical applications like travel planning. The use of a cascaded training recipe, starting with SFT and progressing to RL, is a notable methodological contribution.