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Zheng-Zhong Tu

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#machine learning Preprint Oct 2026

The Missing Primitive: Diagnosing and Repairing Mathematical Reasoning in Large Language Models

While Large Language Models (LLMs) have demonstrated striking capabilities on frontier mathematical problems, it remains unclear whether they possess the structural mathematical understanding underlying their solutions. In this paper, we take a first step toward systematically studying mathematical understanding in LLM...

Shuo Xing, Zi-Lin Dai, Cheng-Yuan Qian et al. · 0 citations
#machine learning Preprint Sep 2026

ReSCENE: Server-Side Replay for Structural Mitigation of Catastrophic Forgetting in Federated Continual Learning

Federated continual learning must integrate new tasks over time without losing earlier-task knowledge. Most existing methods attach an anti-forgetting mechanism to the client-trained, server-aggregated loop of federated learning, which holds back new learning to preserve earlier knowledge and burdens resource-constrain...

Sung-Min Kang, Zheng-Zhong Tu, Sun-Woo Lee · 0 citations

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