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The Importance of Planning Ability in Language Models
The planning ability of the underlying LLMs is crucial as LLMs need to break down into smaller components and impart domain knowledge for effective information flow. Agents built currently require explicit planning and reflection steps which compensate for LLMs' limitations in reasoning. Research focuses on planning for agents and post-action reflection to enhance LLM performance. The ultimate goal is for LLMs to automatically plan and self-assess, eliminating the need for external guidance in these areas. Developing the planning ability of LLMs is vital for their future improvement.