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Yu-Heng Jing

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#artificial intelligence Preprint Sep 2026

Not Every Term Adds New Structure: Sobolev Novelty for Symbolic Regression

Sobolev Novelty is introduced, a term-level measure of structural independence for symbolic equations, which can be incorporated into diverse SR paradigms to support term pruning, search guidance, LLM feedback, and data selection, yielding consistent performance gains and demonstrating broad applicability.

Boxiao Wang, Kai Li, Yu-Heng Jing et al. · 0 citations

RecreationWorld: Scalable and Verifiable Environments for Hybrid Computer-Use Agents

This work introduces RecreationWorld, a five-platform framework built around recreation: given a running reference, an agent must discover its behavior and build a faithful implementation with no prescribed workflow, and introduces RecreationBench, comprising 250 diverse tasks across domains and platforms.

Shuai Bai, Jia-Yong Deng, Si-Cheng Fan et al. · 1 citation
#natural language process... Preprint Sep 2026

SLATE: Are AI-Generated Slides Educationally Effective? A Benchmark for Language Teaching Quality and Learner Knowledge Acquisition

SLATE (Slide-based Learning Assessment for Teaching Effectiveness), the first benchmark that evaluates AI-generated language teaching slides through instructional effectiveness and learner knowledge acquisition, reveals a dissociation between artifact quality and instructional effectiveness.

Jing-Zhuo Wu, Jia-Jun Zhang, Liu Yi et al. · 0 citations
Preprint Aug 2026

Qwen-CUA: Native Computer Use for (almost) Everything

Qwen-CUA is introduced, a native computer-use agent with a 397B-A17B Qwen mixture-of-experts backbone that outperforms Qwen3.7 and remains competitive with leading proprietary systems, and scalable verifiable interaction and hybrid tool use as key directions.

Dunjie Lu, Shuai Bai, Tianyi Bai et al. · 2 citations

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