Analogical Reasoning for Language Models

Latest papers

13 papers0 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

On the Diversity of Analogy Making in Large Language Models
Aug 4, 2026Yuanhao Shen, Daniel Xavier de Sousa, Caio César Sifuentes Barcelos +2LLM Evaluation Analogical Reasoning for Language Models
Department of Electrical and Computer Engineering & Ingenuity Labs Research Institute, Queen’s University, Canada · Instituto Federal de Goiás, Anápolis, Brazil · National Research Council Canada.
ADAGE: A Language-Agnostic Pipeline for Analogical Reasoning Evaluation
Jul 25, 2026Ahmed Haj Ahmed, Alvin GrissomMultilingual Language Model Evaluation Reasoning Evaluation
Haverford College
Analogical Deep Research: Retrieving and Integrating Historical Analogies for Foresight Analysis
Jul 15, 2026Yongqiang Chen, Guangyi Chen, Yuewen Sun +1Analogical Reasoning for Language Models Analogical Reasoning
1Mohamed bin Zayed University of Artificial Intelligence · 2Carnegie Mellon University
The Metanym Game: A Self-Contained, Self-Consistent LLM Peer-Community Benchmark for Structural Intelligence
Jun 19, 2026David NordforsLLM Evaluation LLM-as-a-Judge
Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning
Jun 11, 2026Zilin Xiao, Qi Ma, Chun-cheng Jason Chen +4Analogical Reasoning RL for Language Model Reasoning
Meta Superintelligence Labs · Rice University · Work partially done during internship at Meta
Teaching Through Analogies: A Modular Pipeline for Educational Analogy Generation
May 22, 2026Mariam Barakat, Ekaterina KochmarLLM Evaluation LLM Grounding
Mohamed bin Zayed University of Artificial Intelligence, UAE
Enhancing Agent Safety Judgment: Controlled Benchmark Rewriting and Analogical Reasoning for Deceptive Out-of-Distribution Scenarios
May 5, 2026Zuoyu Zhang, Yancheng ZhuAnalogical Reasoning for Language Models AI Agent Safety
Shenzhen University, Shenzhen, China.
CARO: Chain-of-Analogy Reasoning Optimization for Robust Content Moderation
Apr 12, 2026Bingzhe Wu, Haotian Lu, Yuchen MouAnalogical Reasoning for Language Models Content Moderation
Shenzhen University · Tsinghua University · National University of Singapore
CHAIRO: Contextual Hierarchical Analogical Induction and Reasoning Optimization for LLMs
Apr 12, 2026Haotian Lu, Yuchen Mou, Bingzhe WuAnalogical Reasoning for Language Models Content Moderation
Shenzhen University · Tsinghua University · National University of Singapore
Transformer See, Transformer Do: Copying as an Intermediate Step in Learning Analogical Reasoning
Apr 7, 2026Philipp Hellwig, Willem Zuidema, Claire E. Stevenson +1Analogical Reasoning for Language Models Compositional Generalization
Psychological Methods, University of Amsterdam · Institute for Logic, Language and Computation, University of Amsterdam
When Models Know More Than They Say: Probing Analogical Reasoning in LLMs
Apr 4, 2026Hope McGovern, Caroline Craig, Thomas Lippincott +1Analogical Reasoning for Language Models LLM Reasoning
Cambridge University · Northeastern University · Athenahealth +1
Large Language Models provide support for the parallelogram theory of analogy
Mar 19, 2026Qiawen Ella Liu, Raja Marjieh, Jian-Qiao Zhu +2Analogical Reasoning for Language Models Analogical Reasoning
Princeton University · The University of Hong Kong
Feature Resemblance: Towards a Theoretical Understanding of Analogical Reasoning in Transformers
Mar 5, 2026Ruichen Xu, Wenjing Yan, Ying-Jun Angela ZhangAnalogical Reasoning Analogical Reasoning for Language Models
Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong.

Aug 4, 2026J/K move · Enter open · S save

On the Diversity of Analogy Making in Large Language Models

Yuanhao Shen, Daniel Xavier de Sousa, Caio César Sifuentes Barcelos, Hongyu Guo+1

Department of Electrical and Computer Engineering & Ingenuity Labs Research Institute, Queen’s University, Canada · Instituto Federal de Goiás, Anápolis, Brazil · National Research Council Canada.

LLM Evaluation Analogical Reasoning for Language Models Output Diversity in Language Models Text Generation

Open paper AskPDF arXiv

Large Language Models (LLMs) have demonstrated remarkable potential for analogy making, a core cognitive capability that drives novelty and creativity. While prior research has extensively investigated the applications and underlying mechanisms of LLM-based analogy making, its output diversity remains largely unexplored, despite being essential for broadening cross-domain connections and fostering scientific innovation. In this work, we present a comprehensive evaluation of analogy diversity across ten state-of-the-art open- and closed-source LLMs. Our findings highlight a concerning issue of domain homogeneity, a prevalent tendency for LLMs to generate analogies from a narrow set of target domains, limiting both inter-query and intra-model diversity. Furthermore, our analysis reveals a fundamental trade-off in existing LLM diversity-enhancement methods: increasing output diversity often comes at the expense of output quality. Finally, our causal analysis of LLM information flow reveals substantial differences in the model-sensitive regions governing analogy diversity across LLMs, suggesting a potential mechanism for the observed diversity-quality trade-off. To our knowledge, this is among the first studies to systematically investigate output diversity in LLM-based analogy making.