Towards a Data-Centric Understanding of Spatial Reasoning in Multimodal Large Language Models
cs.CV, cs.AI, cs.CL
Submitted: 2026-10-13
Updated: 2026-10-13
Comments: 29 pages, 3 figures, 2 tables, Under review at Artificial Intelligence Review
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- A Survey of Multimodal Large Language Model from A Data-centric Perspective
- SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards
- Perception Before Reasoning: Two-Stage Reinforcement Learning for Visual Reasoning in Vision-Language Models
- A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science
- SpatialMosaic: A Multiview VLM Dataset for Partial Visibility
- Spatial Reasoning in Multimodal Large Language Models: A Survey of Tasks, Benchmarks and Methods
- When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models
- SpaceR: Reinforcing MLLMs in Video Spatial Reasoning
- Video-STR: Reinforcing MLLMs in Video Spatio-Temporal Reasoning with Relation Graph
- How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective
- Multimodal Spatial Reasoning in the Large Model Era: A Survey and Benchmarks
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