First Spatio-Temporal Time-Series Reasoning Framework for LLMs | ACL'26

首个时空时序推理框架：让大模型真正读懂时空数据 | ACL'26

Emory University, Microsoft, and partners introduced STReasoner for spatio-temporal time-series reasoning, with ST-Bench covering four task types. It uses Network SDE plus Multi-Agent data generation, then Align, SFT+CoT, and S-GRPO training. The article claims inference cost is 0.004× closed models, with code on GitHub.

Why it matters: HKR-H and HKR-K pass: the story has a “first framework” hook plus ST-Bench, S-GRPO, 0.004× cost, and code release. HKR-R is weak because spatiotemporal reasoning is a narrower research lane.