An LLM+knowledge-graph+human-in-the-loop framework improves simulated task-completion success over LLM-only and LLM+KG baselines, though the human oracle inflates the reported gains.
From cooking recipes to robot task trees– improving planning correctness and task efficiency by leveraging llms with a knowledge network,
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AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement
An LLM+knowledge-graph+human-in-the-loop framework improves simulated task-completion success over LLM-only and LLM+KG baselines, though the human oracle inflates the reported gains.