On an unvalidated AI-graded zero-shot test, several commercial LLMs score higher and more consistently than open-source small models on simplified versions of the frame and symbol grounding problems.
Humanlike cognitive patterns as emergent phenomena in large language models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 1years
2025 1verdicts
REJECT 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark
On an unvalidated AI-graded zero-shot test, several commercial LLMs score higher and more consistently than open-source small models on simplified versions of the frame and symbol grounding problems.