Graph-enhanced large language models in asynchronous plan reasoning
Planning is a fundamental property of human intelligence. Reasoning about asynchronous plans is challenging since it requires sequential and parallel planning to optimize time costs. Can large language models (LLMs) succeed at this task? Here, we present the first large-scale study investigating thi...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
PMLR
2024
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