Papers by Yexiang Liu

1 papers
Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory (2025.acl-long)

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Challenge: Recent studies have shown that scaling test-time compute can also effectively improve reasoning.
Approach: They propose a probabilistic method to efficiently predict scaling performance and identify the best prompting strategy under large sampling times.
Outcome: The proposed method significantly improves the scaling performance of majority voting on large language models.

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