Author

Shuo-Tian Li

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#artificial intelligence Preprint Oct 2026

Sage-A1.5: From Long-Horizon Execution to Scientific Exploration with Capability Composition

In this report, we introduce Sage-A1.5, a 35B Mixture-of-Experts agentic model that builds on A1 to advance long-horizon problem solving through adaptive capability composition. Compared with A1, Sage-A1.5 learns not only to solve individual tasks, but also to organize work and revise its approach during execution. Sag...

Wenjie Lou, Tian-Shuo Peng, Shi-Yang Feng et al. · 0 citations

#artificial intelligence Preprint Sep 2026

JevSoup: System-One Routing for Training-Free LoRA Composition

JevSoup is proposed, a training-free framework separating System One expert routing from System Two execution using only the input and expert descriptions, which retains the leading expert's update, projects the second onto the orthogonal complement of the first update's row space, and combines them with equal weights.

Xiu-Ying Wang, Jia-Hua Cheng, Shuo-Tian Li et al. · 0 citations