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Alvaro Velasquez

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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
Conference Open access 2026

NSF-CoT: Neuro-Symbolic Formal Verification of Chain-of-Thought Faithfulness in Contextual Question Answering

NSF-CoT is presented, a neuro-symbolic formal verification method that checks CoT faithfulness step by step for contextual question answering and consistently outperforms causal mediation, perturbation probes, and behavioral monitoring.

Vishal Pramanik, Maisha Maliha, Nathaniel D. Bastian et al. · 1 citation

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