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통찰 - Analogical Reasoning Dataset Creation
ParallelPARC: Generating Natural-Language Analogies at Scale
The authors present ParallelPARC, a pipeline leveraging Large Language Models to generate complex analogies and distractors. They demonstrate the creation of ProPara-Logy, a dataset for studying analogical reasoning in scientific processes.
ParallelPARC: A Scalable Pipeline for Generating Natural-Language Analogies
Analogical reasoning datasets are crucial for advancing AI systems, with humans outperforming models in recognizing complex analogies.
ParallelPARC: A Scalable Pipeline for Generating Natural-Language Analogies
Analogical reasoning datasets are crucial for AI advancement, showcasing the superiority of human cognition over current AI systems.
