Evaluating Test-Time Scaling of General LLM Agents
This paper systematically investigates two principal test-time scaling axes of LLM agents: sequential scaling through extended interaction and parallel scaling through trajectory sampling, and finds that neither scaling axis can consistently yield meaningful gains from additional test-time compute in realistic environm...
Xiao-Chuan Li, Ryan Ming, P. Setlur et al.
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