ReasonMap: Towards Fine-Grained Visual Reasoning from Transit Maps
On the map: LLM reasoning → Multimodal reasoning
Abstract (arXiv)
Multimodal large language models (MLLMs) have demonstrated significant progress in semantic scene understanding and text-image alignment, with reasoning variants enhancing performance on more complex tasks involving mathematics and logic. To bridge this gap, we introduce ReasonMap, a novel benchmark specifically designed to evaluate these capabilities. ReasonMap encompasses high-resolution transit maps from 30 cities and includes 1,008 question-answer pairs spanning two question types and three templates. Furthermore, we design a two-level evaluation pipeline that properly assesses answer correctness and quality. Our comprehensive evaluation of 16 popular MLLMs reveals a counterintuitive pattern: among open-source models, base variants outperform their reasoning-tuned counterparts, whereas the opposite trend is observed in closed-source models. Further analysis under the visual-masking setting confirms that strong performance necessitates direct visual grounding, rather than relying solely on language priors. We further establish a training baseline with reinforcement fine-tuning, providing a reference for future exploration. We hope this benchmark study offers new insights into visual reasoning and helps investigate the gap between open- and closed-source models.
Key facts. Cited by 23 papers in the map (data through 14 Oct 2026). Placed in Multimodal reasoning, one of 17 directions in LLM reasoning. Builds on 42 of its 102 references that are in the map. First posted on arXiv 24 May 2025.
Builds on
42 of 102 references.
Closest ancestors · 12
Same direction, newest first
- 2025R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation4 May
- 2025Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning23 Apr
- 2025VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models21 Apr
- 2025VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge14 Apr
- 2025VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model10 Apr
- 2025Kimi-VL Technical Report10 Apr
- 2025Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought8 Apr
- 2025VGRP-Bench: Visual Grid Reasoning Puzzle Benchmark for Large Vision-Language Models29 Mar
- 2025Imagine while Reasoning in Space: Multimodal Visualization-of-Thought13 Jan
- 2025Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark9 Jan
- 2024Visual-Linguistic Agent: Towards Collaborative Contextual Object Reasoning15 Nov
- 2024MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model10 Sep
Other references · 30
- 2023GPT-4 Technical Reportcited by 18,396
- 2024DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Modelscited by 9,379
- 2020Scaling Laws for Neural Language Modelscited by 6,586
- 2025DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learningcited by 6,330
- 2025Qwen2.5-VL Technical Reportcited by 5,587
- 2024Qwen2 Technical Reportcited by 2,120
- 2025InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Modelscited by 1,834
- 2023Kosmos-2: Grounding Multimodal Large Language Models to the Worldcited by 1,089
- 2025Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?cited by 982
- 2023Gemini: A Family of Highly Capable Multimodal Modelscited by 872
- 2024Hallucination of Multimodal Large Language Models: A Surveycited by 388
- 2025Seed1.5-VL Technical Reportcited by 373
18 more
- 2025Reinforcement Learning for Reasoning in Large Language Models with One Training Examplecited by 295
- 2025Reasoning Beyond Language: A Comprehensive Survey on Latent Chain-of-Thought Reasoningcited by 78
- 2024An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Modelscited by 50
- 2025Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learningcited by 40
- 2024PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planningcited by 38
- 2025Can Large Vision Language Models Read Maps Like a Human?cited by 30
- 2024V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encodingcited by 28
- 2024CityBench: Evaluating the Capabilities of Large Language Models for Urban Taskscited by 27
- 2024Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City Navigation without Instructionscited by 25
- 2025SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understandingcited by 25
- 2024MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Modelscited by 21
- 2025GeoNav: Empowering MLLMs with dual-scale geospatial reasoning for language-goal aerial navigationcited by 16
- 2025AI Sees Your Location, But With A Bias Toward The Wealthy Worldcited by 14
- 2024Is Oracle Pruning the True Oracle?cited by 7
- 2016Learning from Maps: Visual Common Sense for Autonomous Drivingcited by 4
- 2024Understanding the Role of LLMs in Multimodal Evaluation Benchmarkscited by 4
- 2025Perceiving Beyond Language Priors: Enhancing Visual Comprehension and Attention in Multimodal Modelscited by 4
- 2025Instruction-augmented Multimodal Alignment for Image-Text and Element Matchingcited by 2
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Citing papers per year: 2025: 11; 2026: 12.
23 papers.
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- 2025Semantic-Aware Logical Reasoning via a Semiotic Frameworkcited by 32
- 2025A Survey of Token Compression for Efficient Multimodal Large Language Modelscited by 25
- 2025RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learningcited by 21
- 2025OBS-Diff: Accurate Pruning For Diffusion Models in One-Shotcited by 19
- 2025Active Perception Agent for Omnimodal Audio-Video Understandingcited by 13
- 2025Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalizationcited by 8
- 2025MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understandingcited by 7
- 2025Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systemscited by 4
- 2025FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Modelscited by 3
- 2026MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphscited by 3
- 2026Self-Purification Mitigates Backdoors in Multimodal Diffusion Language Modelscited by 2
- 2026OmniMapBench: Benchmarking Visual-Centric Reasoning on Diverse Map Documentscited by 2
11 more
- 2025GTR-Bench: Evaluating Geo-Temporal Reasoning in Vision-Language Modelscited by 1
- 2025Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Modelscited by 1
- 2026CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisitioncited by 1
- 2026EpiCon: Collective Agent Learning through Co-Evolving Multimodal Memorycited by 1
- 2026PGT: Procedurally Generated Tasks for improving visual grounding in MLLMscited by 0
- 2026VisualNeedle: Benchmarking Active Visual Search in Information-Dense Scenescited by 0
- 2026UltraVR: A Diagnostic Ultra-Resolution Image-VQA Benchmark for Evidence-Grounded Reasoningcited by 0
- 2026Perceive, Interact, Reason: Building Tool-Augmented Visual Agents for Spatial Reasoningcited by 0
- 2026LabInstruct: Benchmarking Situated Instructional Video Generation for Lab Procedurescited by 0
- 2026VIEWCRAFT: Evolving What Multimodal Agents See and How They Read Itcited by 0
- 2026Game2Real-Bench: Do Toy Games Reveal and Transfer to Real-World Visual Reasoning?cited by 0
- 2026Game2Real-Bench: Do Toy Games Reveal and Transfer to Real-World Visual Reasoning?13 Oct 2026
- 2026VIEWCRAFT: Evolving What Multimodal Agents See and How They Read It11 Oct 2026
- 2026LabInstruct: Benchmarking Situated Instructional Video Generation for Lab Procedures29 Sep 2026
- 2026EpiCon: Collective Agent Learning through Co-Evolving Multimodal Memory29 Sep 2026
- 2026CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition28 Jul 2026
- 2026OmniMapBench: Benchmarking Visual-Centric Reasoning on Diverse Map Documents10 Jul 2026
- 2026Perceive, Interact, Reason: Building Tool-Augmented Visual Agents for Spatial Reasoning11 Jun 2026
- 2026UltraVR: A Diagnostic Ultra-Resolution Image-VQA Benchmark for Evidence-Grounded Reasoning4 Jun 2026
- 2026VisualNeedle: Benchmarking Active Visual Search in Information-Dense Scenes25 May 2026
- 2026PGT: Procedurally Generated Tasks for improving visual grounding in MLLMs22 May 2026
- 2026Self-Purification Mitigates Backdoors in Multimodal Diffusion Language Models24 Feb 2026
- 2026MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs20 Feb 2026
11 more
- 2025Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systems30 Dec 2025
- 2025Active Perception Agent for Omnimodal Audio-Video Understanding29 Dec 2025
- 2025FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models8 Dec 2025
- 2025Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalization27 Nov 2025
- 2025Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models1 Nov 2025
- 2025MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding27 Oct 2025
- 2025GTR-Bench: Evaluating Geo-Temporal Reasoning in Vision-Language Models9 Oct 2025
- 2025OBS-Diff: Accurate Pruning For Diffusion Models in One-Shot8 Oct 2025
- 2025RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning2 Oct 2025
- 2025Semantic-Aware Logical Reasoning via a Semiotic Framework29 Sep 2025
- 2025A Survey of Token Compression for Efficient Multimodal Large Language Models27 Jul 2025
- 2025Semantic-Aware Logical Reasoning via a Semiotic Frameworkcited by 32
- 2025RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learningcited by 21
- 2025Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalizationcited by 8
- 2025FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Modelscited by 3
- 2026MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphscited by 3
- 2025GTR-Bench: Evaluating Geo-Temporal Reasoning in Vision-Language Modelscited by 1
- 2025Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Modelscited by 1
- 2026UltraVR: A Diagnostic Ultra-Resolution Image-VQA Benchmark for Evidence-Grounded Reasoningcited by 0
- 2026Perceive, Interact, Reason: Building Tool-Augmented Visual Agents for Spatial Reasoningcited by 0
- 2026Game2Real-Bench: Do Toy Games Reveal and Transfer to Real-World Visual Reasoning?cited by 0
- 2026Game2Real-Bench: Do Toy Games Reveal and Transfer to Real-World Visual Reasoning?13 Oct 2026
- 2026Perceive, Interact, Reason: Building Tool-Augmented Visual Agents for Spatial Reasoning11 Jun 2026
- 2026UltraVR: A Diagnostic Ultra-Resolution Image-VQA Benchmark for Evidence-Grounded Reasoning4 Jun 2026
- 2026MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs20 Feb 2026
- 2025FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models8 Dec 2025
- 2025Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalization27 Nov 2025
- 2025Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models1 Nov 2025
- 2025GTR-Bench: Evaluating Geo-Temporal Reasoning in Vision-Language Models9 Oct 2025
- 2025RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning2 Oct 2025
- 2025Semantic-Aware Logical Reasoning via a Semiotic Framework29 Sep 2025
- 2025A Survey of Token Compression for Efficient Multimodal Large Language Modelscited by 25
- 2025MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understandingcited by 7
- 2026PGT: Procedurally Generated Tasks for improving visual grounding in MLLMscited by 0
- 2026VisualNeedle: Benchmarking Active Visual Search in Information-Dense Scenescited by 0
- 2026VisualNeedle: Benchmarking Active Visual Search in Information-Dense Scenes25 May 2026
- 2026PGT: Procedurally Generated Tasks for improving visual grounding in MLLMs22 May 2026
- 2025MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding27 Oct 2025
- 2025A Survey of Token Compression for Efficient Multimodal Large Language Models27 Jul 2025
- 2025Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systemscited by 4
- 2026OmniMapBench: Benchmarking Visual-Centric Reasoning on Diverse Map Documentscited by 2
- 2026CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisitioncited by 1
- 2026EpiCon: Collective Agent Learning through Co-Evolving Multimodal Memorycited by 1
- 2026LabInstruct: Benchmarking Situated Instructional Video Generation for Lab Procedurescited by 0
- 2026VIEWCRAFT: Evolving What Multimodal Agents See and How They Read Itcited by 0
- 2026VIEWCRAFT: Evolving What Multimodal Agents See and How They Read It11 Oct 2026
- 2026LabInstruct: Benchmarking Situated Instructional Video Generation for Lab Procedures29 Sep 2026
- 2026EpiCon: Collective Agent Learning through Co-Evolving Multimodal Memory29 Sep 2026
- 2026CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition28 Jul 2026
- 2026OmniMapBench: Benchmarking Visual-Centric Reasoning on Diverse Map Documents10 Jul 2026
- 2025Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systems30 Dec 2025
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