AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent

In three linesAgentArk distills multi-agent intelligence into a single LLM through three hierarchical strategies: reasoning-enhanced fine-tuning, trajectory-based augmentation, and process-aware distillation. The resulting model preserves single-agent computational efficiency while retaining multi-agent reasoning and self-correction capabilities.

Summary generated by Claude — human-verified