mlsanityData to 7 Oct 2026

Can Multimodal Large Language Model Think Analogically?

arXiv 2411.01307 ↗First posted 2 Nov 2024cs.CLcited by 2

On the map: LLM reasoning → Multimodal reasoning

also in 1 more
Abstract (arXiv)

Analogical reasoning, particularly in multimodal contexts, is the foundation of human perception and creativity. Multimodal Large Language Model (MLLM) has recently sparked considerable discussion due to its emergent capabilities. In this paper, we delve into the multimodal analogical reasoning capability of MLLM. Specifically, we explore two facets: textitMLLM as an explainer and textitMLLM as a predictor. In textitMLLM as an explainer, we primarily focus on whether MLLM can deeply comprehend multimodal analogical reasoning problems. We propose a unified prompt template and a method for harnessing the comprehension capabilities of MLLM to augment existing models. In textitMLLM as a predictor, we aim to determine whether MLLM can directly solve multimodal analogical reasoning problems. The experiments show that our approach outperforms existing methods on popular datasets, providing preliminary evidence for the analogical reasoning capability of MLLM.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Placed in Multimodal reasoning, one of 17 directions in LLM reasoning. Builds on 15 of its 40 references that are in the map. First posted on arXiv 2 Nov 2024.

Builds on

15 of 40 references.

Closest ancestors · 1

Same direction, newest first

  1. 2022Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices28 Jan

Other references · 14

  1. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  2. 2023Visual Instruction Tuningcited by 7,792
  3. 2023InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Taskscited by 2,534
  4. 2023Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyondcited by 2,179
  5. 2019VisualBERT: A Simple and Performant Baseline for Vision and Languagecited by 1,291
  6. 2023A Survey on Multimodal Large Language Modelscited by 898
  7. 2022GLM-130B: An Open Bilingual Pre-trained Modelcited by 837
  8. 2023Simple synthetic data reduces sycophancy in large language modelscited by 174
  9. 2024RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthinesscited by 129
  10. 2023Large Language Models as Analogical Reasonerscited by 107
  11. 2018Towards Understanding Linear Word Analogiescited by 57
  12. 2021BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?cited by 56
2 more
  1. 2023Thought Cloning: Learning to Think while Acting by Imitating Human Thinkingcited by 30
  2. 2022MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completioncited by 14

Built on by

Cited by year (2026 to 7 Oct)

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

2 papers.

  1. 2026CARV: A Diagnostic Benchmark for Compositional Analogical Reasoning in Multimodal LLMscited by 1
  2. 2025Towards Multimodal Graph Large Language Modelcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning
  2. 2025VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning
  3. 2025Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark
  4. 2022Multimodal Analogical Reasoning over Knowledge Graphs
  5. 2025Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models
  6. 2025LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models
  7. 2024The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models
  8. 2023Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models