Practical time-series forecasting requires domain knowledge, constraints, plausibility checks, and human intervention. We present CastClaw, an interactive forecasting system centered on an autonomous forecasting loop and supported by a forecasting-oriented harness. Users create and refine tasks in natural language thro...
Xiao-Yu Tao, Ming-Yue Cheng, Ze Guo et al.· 0 citations
CastFSR is proposed, an agentic framework that formulates context-aware forecasting as a Fast--Slow--Reflect workflow that supports both training-free inference with off-the-shelf LLMs and efficient deployment through a two-stage SFT and reinforcement learning strategy that transfers its orchestration capability to com...
Xiao-Yu Tao, Mingyue Cheng, Bo-Kai Pan et al.· 0 citations
CastClaw is presented, a human-in-the-loop autonomous forecasting system built through forecasting-oriented harness engineering that connects data, specialized models, analytical tools, user input, and a versioned execution record in one runtime.
Xiao-Yu Tao, Ming-Yue Cheng, Ze Guo et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.