Papers by Dieter Fox
NEWTON: Are Large Language Models Capable of Physical Reasoning? (2023.findings-emnlp)
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| Challenge: | Large Language Models have been shown to encapsulate syntactic, semantic, word sense, and common-sense knowledge, but limited exploration of their physical reasoning abilities has been conducted. |
| Approach: | They propose a repository and benchmark to evaluate LLMs' physical reasoning skills . they use a pipeline to generate a variant of the benchmark customized to the objects and attributes relevant for their application. |
| Outcome: | The proposed benchmark examines the reasoning capabilities of language models across reasoning tasks. |