Analogical Reasoning

Past Meets Present: Creating Historical Analogy with Large Language Models

We focus on acquiring historical analogies using LLMs, proposing a self-reflection method to reduce hallucinations and stereotypes, showing that LLMs have strong potential in this task.

Nianqi Li, Siyu Yuan, Jiangjie Chen, Jiaqing Liang, Feng Wei, Zujie Liang, Deqing Yang, Yanghua Xiao

Past Meets Present: Creating Historical Analogy with Large Language Models

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

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

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

E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning