mlsanityData to 14 Oct 2026

Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research

arXiv 2509.09381 ↗First posted 11 Sep 2025cs.CLcited by 3

On the map: LLM reasoning → Reasoning benchmarks and evaluation

Abstract (arXiv)

Analogical reasoning is an essential aspect of human cognition. In this paper, we summarize key theory about the processes underlying analogical reasoning from the cognitive science literature and relate it to current research in natural language processing. While these processes can be easily linked to concepts in NLP, they are generally not viewed through a cognitive lens. Furthermore, we show how these notions are relevant for several major challenges in NLP research, not directly related to analogy solving. This may guide researchers to better optimize relational understanding in text, as opposed to relying heavily on entity-level similarity.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Placed in Reasoning benchmarks and evaluation, one of 17 directions in LLM reasoning. Builds on 16 of its 131 references that are in the map. First posted on arXiv 11 Sep 2025.

Builds on

16 of 131 references.

Closest ancestors · 4

Same direction, newest first

  1. 2024LLMs as Models for Analogical Reasoning19 Jun
  2. 2024Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models14 Feb
  3. 2023Response: Emergent analogical reasoning in large language models30 Aug
  4. 2022Understanding Narratives through Dimensions of Analogy14 Jun

Other references · 12

  1. 2023GPT-4 Technical Reportcited by 18,396
  2. 2024The Llama 3 Herd of Modelscited by 14,715
  3. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  4. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  5. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,375
  6. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
  7. 2020DeBERTa: Decoding-enhanced BERT with Disentangled Attentioncited by 2,181
  8. 2016ConceptNet 5.5: An Open Multilingual Graph of General Knowledgecited by 1,067
  9. 2021GPT Understands, Toocited by 716
  10. 2024Stable LM 2 1.6B Technical Reportcited by 90
  11. 2023Do large language models solve verbal analogies like children do?cited by 13
  12. 2024Predicting drug-gene relations via analogy tasks with word embeddingscited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2025The Curious Case of Analogies: Investigating Analogical Reasoning in Large Language Models
  2. 2023ARN: Analogical Reasoning on Narratives
  3. 2023Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction
  4. 2023ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base
  5. 2023Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performance
  6. 2024AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies
  7. 2023In-Context Analogical Reasoning with Pre-Trained Language Models
  8. 2024Evaluating the Robustness of Analogical Reasoning in Large Language Models