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From Search to Research: Exploring Search Scaling in Autonomous Quantitative Factor Mining
Inference scaling has been shown to improve large language model (LLM) performance, and this principle naturally extends to autonomous LLM agents through increased search budgets, which we refer to as *search scaling*. Although prior work has characterized the mechanisms, scaling behavior, and perfo
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