Analogical Reasoning

Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction
We propose a scientific analogical reasoning benchmark with structure abduction, SCAR, and show that large language models make reasonable scientific analogies after structure abduction.
Siyu Yuan, Jiangjie Chen, Xuyang Ge, Yanghua Xiao, Deqing Yang
PDF Cite Code
Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction
AnalogyKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base
A million-scale analogy KB derived from existing KGs, to enable large language models to achieve analogical reasoning skills.
Siyu Yuan, Jiangjie Chen, Changzhi Sun, Jiaqing Liang, Yanghua Xiao, Deqing Yang
PDF Code
AnalogyKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning
We benchmark knowledge-intensive analogical reasoning with human-annotated explanations.
Jiangjie Chen, Rui Xu, Ziquan Fu, Wei Shi, Zhongqiao Li, Xinbo Zhang, Changzhi Sun, Lei Li, Yanghua Xiao, Hao Zhou
PDF Cite Project Poster Slides Video DOI
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning