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Hui-Kan Xiang

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#artificial intelligence Preprint Oct 2026

UniSkill: Learning Actor-Aligned Skill Proposals for an Evolving Policy

Large language model agents can improve across tasks by retaining reusable skills distilled from prior interactions. Recent work jointly optimizes task execution and skill extraction, enabling the policy and skillbank to co-evolve. However, as the actor continues learning, rewarding skill proposals through their reuse...

Yi-Fei Lu, Cheng Liu, Dian-Zhi Yu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

$t_0$: A Time-Series Foundation Model for Forecasting with Context

We present $t_0$, a family of open-weights foundation models for forecasting with multivariate context. We release its first two members: $\texttt{t0-alpha}$ and $\texttt{t0-beta}$, respectively 102M and 256M parameters. Both condition their forecasts on target history, past covariates, and known-future covariates, wit...

Lucas Meyer, Claudio Sole, Hui-Kan Xiang et al. · 2 citations

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