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October 15, 2025Open Access

Scaling Test-time Compute for LLM Agents

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Authors

KZK. J. ZhuHLHanhao LiSWSiwei Wu

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Overview

Systematic exploration shows test-time scaling enhances performance in language agents, highlighting optimal strategies.

Key Points

  • Scaling test time compute significantly improves the reasoning abilities of large language models.
  • Effective performance enhancement relies on knowing when to apply reflection within language agents.
  • The list-wise verification method outperforms other approaches in merging results.
  • Increased diversification of rollouts positively influences the task performance of agents.

Cite This Study

Zhu et al. (2025) studied this question.

synapsesocial.com/papers/68efd921056559ef42877480https://doi.org/10.48550/arxiv.2506.12928
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