Design and Evaluation of LLM Chaining-Based Task Planning for General Purpose Service Robots
This work proposes an LLM chaining architecture that separates instruction classification and action generation into two specialized stages, reducing per-inference prompt length by approximately 45% while improving planning consistency.
Lucas Da Mota Bruno, Jiahao Sim, Y. Hagiwara
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