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Jin-Xin Liu

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#artificial intelligence Preprint Oct 2026

SLDBench v2: Active Scaling Law Discovery

SLDBench v2 is introduced with two extensions, and active scaling law discovery is introduced: an agent chooses which experiments to run, pays each one's recorded cost, and revises its law as outcomes arrive, and is scored on the same hidden extrapolation targets as in the passive setting.

Ling-Bei Meng, Rui Huang, Zhi-Rong Shen et al. · 0 citations

Open access Sep 2026

Student Psychology-Based Optimization Algorithm Based on Educational Learning Is Used for Numerical Optimization and Practical Application

It is demonstrated that the three embedded learning mechanisms substantially strengthen the optimization capacity of vanilla SPBO, and ESPBO possesses considerable application potential for numerical optimization as well as mobile robot path-planning scenarios.

Jin-Xin Liu, Chuan-Yan Wang, Cheng-Peng Li · Symmetry · 1 citation