TimeInteract: Towards Real-Time Interactive Intelligence for Streaming Time Series.
arXiv:2609.26389v1 Announce Type: cross Abstract: Real-world time series evolve continuously, with meaningful changes potentially emerging at any moment. However, existing time-series language models (TSLMs) remain inherently static. They either receive comple
arXiv cs.AIResearch source·