Papers by Xinyue Ye

1 papers
Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer (2026.findings-eacl)

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Challenge: Existing studies show that large language models have strong reasoning capabilities through chain-structured methods.
Approach: They propose a framework for navigating and expanding thought structures to overcome blind spots in LLM reasoning.
Outcome: The proposed framework overcomes blind spots in large language models by expanding thought structures . the proposed framework improves accuracy of the final answer and intermediate reasoning steps .

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