Adaptive Information Control for Search-Augmented LLM Reasoning
DEEPCONTROL is a framework that manages how large language models use search tools during complex reasoning tasks. It introduces Information Utility to decide if retrieving more data is worth it, preventing redundant searches and context overload. The system uses hierarchical expansion and continuation controls to ensure the model gathers the right amount of novel, effective information efficiently.