From Natural Language to Exact Cover: A Neuro-Symbolic Approach to Zebra Puzzles
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Chain-of-Thought (CoT) generation has substantially improved the performance of Large Language Models (LLMs) on complex reasoning tasks, including code generation, data a
Excerpt from arXiv AI
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arXiv AI. (2026, November 2). From Natural Language to Exact Cover: A Neuro-Symbolic Approach to Zebra Puzzles. arXiv AI. https://arxiv.org/abs/2611.03641v1
