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Author

Rong Jin

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#artificial intelligence Preprint Feb 2026

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. · 23 citations · ⚡1
Jul 2026

ACM: Agentic Context Management for Long Horizon Tasks

This work proposes Agentic Context Management (ACM), a framework that equips agents with purpose-built context editing tools for lossless context management and develops a post-training pipeline that constructs high-quality demonstrations of context management and improves model performance on both agentic search and c...

Xiao-Chuan Li, Ryan Ming, Meng Chu et al. · 1 citation

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