How AI describes HALO

HALO is a multi-agent collaboration framework for LLM systems that uses a hierarchical reasoning architecture with high-level planning and mid-level role design agents to decompose and execute tasks. It reformulates subtask execution as a structured workflow search problem using Monte Carlo Tree Search and Adaptive Prompt Refinement, achieving significant performance gains on benchmarks like HumanEval, MMLU, and MATH.