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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers formalize test-time scaling for reasoning LLMs into three structural regimes and establish evaluation principles to make results comparable across studies.
- 为何重要
- Engineers building or evaluating reasoning models need consistent frameworks to compare inference methods and report compute costs meaningfully.
- 注意
- The paper distinguishes three different algorithmic approaches to test-time scaling; treating them as interchangeable under one budget metric obscures actual performance differences.
收听本摘要
- llm
- language model
- reasoning
- inference
- eval
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