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September 30, 2025Open Access

Reasoning LLMs are Wandering Solution Explorers

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This paper identifies flaws in reasoning LLMs during problem solving, suggesting new evaluation metrics for systematic exploration.

Reasoning LLMs often fail to systematically explore the solution space, which leads to ineffective problem solving.
A formal analysis reveals common failure modes like invalid reasoning steps and hallucinated conclusions in LLMs.
Multiple state-of-the-art LLMs were evaluated through qualitative and quantitative analyses to identify persistent issues.
Improving reasoning LLMs may require new metrics that focus on the reasoning process rather than just final outputs.

Lu et al. (2025) studied this question.

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September 30, 2025Open Access

View Full Paper

Ask AI

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Authors

This paper identifies flaws in reasoning LLMs during problem solving, suggesting new evaluation metrics for systematic exploration.

Reasoning LLMs often fail to systematically explore the solution space, which leads to ineffective problem solving.
A formal analysis reveals common failure modes like invalid reasoning steps and hallucinated conclusions in LLMs.
Multiple state-of-the-art LLMs were evaluated through qualitative and quantitative analyses to identify persistent issues.
Improving reasoning LLMs may require new metrics that focus on the reasoning process rather than just final outputs.

Lu et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark