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cs.AI2026
Policy of Thoughts: Scaling Test-Time Training for LLM Reasoning via Online Policy Evolution
Zhengbo Jiao, Hongyu Xian, Qinglong Wang +5
Large language models (LLMs) struggle with complex, long-horizon reasoning due to instability caused by their frozen policy assumption. Current test-time scaling methods treat exec…
cs.AI2025
LAFA: Agentic LLM-Driven Federated Analytics over Decentralized Data Sources
Haichao Ji, Zibo Wang, Cheng Pan +4
Large Language Models (LLMs) have shown great promise in automating data analytics tasks by interpreting natural language queries and generating multi-operation execution plans. Ho…