Research map / Large language models / Agents, code and math
PlanVerb: Domain-Independent Verbalization and Summary of Task Plans
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add causal justifications (E4) and summarize the plan | PlanVerb verbalizations · Office robot domain survey | user confidence (mean, out of 7): 4.11 -> 5.67 | Helped |
| Add causal justifications (E4) and summarize the plan | PlanVerb verbalizations · Office robot domain survey | ease of answering (mean, out of 5): 2.45 -> 4.02 | Helped |
| Add causal justifications (E4) and summarize the plan | PlanVerb verbalizations · Office robot domain survey | speed of finding reasons (mean, out of 5): 2.30 -> 4.12 | Helped |
| Add causal justifications (E4) and summarize the plan | PlanVerb verbalizations · Office robot domain survey | grammatical soundness (mean, out of 5): 4.19 -> 4.17 | No clear effect |
| Add causal justifications (E4) and summarize the plan | PlanVerb verbalizations · Office robot domain survey | correct answers to multiple-choice questions | Helped |
Closest papers by meaning
- Large Language Models as Planning Domain Generators (Student Abstract) (AAAI 2024 · similarity 0.88)
- LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language (NeurIPS 2025 · similarity 0.88)
- Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks (ICML 2025 · similarity 0.88)
- Embodied Task Planning via Graph-Informed Action Generation with Large Language Models (ICML 2026 · similarity 0.88)
- OntoPlan: An Ontology-Grounded Scene Representation and Agentic Framework for Scalable Robot Task Planning (NeurIPS 2026 · similarity 0.87)
- TravelPlanner: A Benchmark for Real-World Planning with Language Agents (ICML 2024 · similarity 0.87)
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