ParallelPARC: A Scalable Pipeline for Generating Natural-Language Analogies

arXiv:2403.01139v1 Announce Type: new
Abstract: Analogy-making is central to human cognition, allowing us to adapt to novel situations -- an ability that current AI systems still lack. Most analogy datasets today focus on simple analogies (e.g., word analogies); datasets including complex types of analogies are typically manually curated and very small. We believe that this holds back progress in computational analogy. In this work, we design a data generation pipeline, ParallelPARC (Parallel Paragraph Creator) leveraging state-of-the-art Large Language Models (LLMs) …

abstract adapt ai systems analogy arxiv cognition cs.ai cs.cl current datasets focus human language making natural novel pipeline scalable simple small systems type types word