Author

Xingyu Lu

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#artificial intelligence May 2026

KairosAgent: Agentic Time Series Forecasting with Fused Semantic Reasoning

KairosAgent, a novel agentic framework for multimodal time series forecasting, including an LLM-based reasoner and a TSFM-based forecaster, unifies textual reasoning and numerical forecasting by dynamically invoking analytical tools to enhance the numerical understanding and semantic reasoning capabilities of LLMs.

Kun Feng, Ziwei Shan, Yu-Chen Fang et al. · arXiv.org · 5 citations · ⚡1

#artificial intelligence May 2026

OptSkills: Learning Generalizable Optimization Skills from Problem Archetypes via Cluster-Based Distillation

This work proposes OptSkills, an archetype-centric skill learning and reasoning agent system for optimization modeling and solving that achieves a state-of-the-art micro-averaged accuracy of 68.27% on datasets encompassing diverse problem types and scenarios.

Haochen Yang, Keyu Zhao, Mengyuan Ma et al. · arXiv.org · 2 citations · ⚡1