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Zitao Li

2 accepted papers

2025

Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective

EMNLP 2025

Large Language Models (LLMs) have shown strong capabilities in zero-shot reasoning and generalization to new tasks. However, the zero-shot performance of general LLMs on complex tasks, such as multi-hop reasoning, remains suboptimal, while reasoning LLMs suffer from hallucinations and unfaithfulness

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