Papers with refinement and retrieval capabilities

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Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective (2025.findings-emnlp)

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Challenge: Existing reasoning models suffer from hallucinations and unfaithfulness, whereas general LLMs perform suboptimal on complex tasks.
Approach: They propose a structure analysis method that helps LLMs better understand the question structure and guide the problem-solving process.
Outcome: The proposed method improves zero-shot performance on knowledge-intensive and mathematical tasks while demonstrating strong robustness against corrupted reasoning paths.

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