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PlanVerb: Domain-Independent Verbalization and Summary of Task Plans

AAAI 2022 · Large language models › Agents, code and math · approach: Long-horizon LLM agents · 5 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add causal justifications (E4) and summarize the planPlanVerb verbalizations · Office robot domain surveyuser confidence (mean, out of 7): 4.11 -> 5.67Helped
Add causal justifications (E4) and summarize the planPlanVerb verbalizations · Office robot domain surveyease of answering (mean, out of 5): 2.45 -> 4.02Helped
Add causal justifications (E4) and summarize the planPlanVerb verbalizations · Office robot domain surveyspeed of finding reasons (mean, out of 5): 2.30 -> 4.12Helped
Add causal justifications (E4) and summarize the planPlanVerb verbalizations · Office robot domain surveygrammatical soundness (mean, out of 5): 4.19 -> 4.17No clear effect
Add causal justifications (E4) and summarize the planPlanVerb verbalizations · Office robot domain surveycorrect answers to multiple-choice questionsHelped

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