Cover Image

Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Stogiannidis, Ilias, McDonagh, Steven, Tsaftaris, Sotirios A.
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Why Do Vision Language Models Struggle To Recognize Human Emotions?
by: Agarwal, Madhav, et al.
Published: (2026)

CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models
by: Xue, Yuyang, et al.
Published: (2025)

CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs
by: Dutt, Raman, et al.
Published: (2025)

Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction
by: Xue, Yuyang, et al.
Published: (2024)

Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models
by: Vilouras, Konstantinos, et al.
Published: (2025)

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation
by: Sun, Jinghan, et al.
Published: (2024)

SWiFT: Soft-Mask Weight Fine-tuning for Bias Mitigation
by: Yan, Junyu, et al.
Published: (2025)

OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models
by: Jia, Mengdi, et al.
Published: (2025)

The Abstraction Gap in Vision-Language Causal Reasoning
by: Hoang, Chinh, et al.
Published: (2026)

Are Vision Language Models Cross-Cultural Theory of Mind Reasoners?
by: Nazi, Zabir Al, et al.
Published: (2025)

Improving Object Detection via Local-global Contrastive Learning
by: Triantafyllidou, Danai, et al.
Published: (2024)

Do Vision-Language Models Truly Perform Vision Reasoning? A Rigorous Study of the Modality Gap
by: Xu, Yige, et al.
Published: (2026)

GaussianHeadTalk: Wobble-Free 3D Talking Heads with Audio Driven Gaussian Splatting
by: Agarwal, Madhav, et al.
Published: (2025)

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning
by: Tang, Yihong, et al.
Published: (2024)

Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
by: Liao, Yuan-Hong, et al.
Published: (2024)

Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities
by: Dutt, Raman, et al.
Published: (2025)

SpatialLadder: Progressive Training for Spatial Reasoning in Vision-Language Models
by: Li, Hongxing, et al.
Published: (2025)

Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?
by: Zhao, Bowen, et al.
Published: (2024)

Label-Efficient Object Detection via Region Proposal Network Pre-Training
by: Dong, Nanqing, et al.
Published: (2022)

From Reasoning to Pixels: Benchmarking the Alignment Gap in Unified Multimodal Models
by: Yang, Cheng, et al.
Published: (2026)

Concept-based Adversarial Attack: a Probabilistic Perspective
by: Zhang, Andi, et al.
Published: (2025)

A Shift in Perspective on Causality in Domain Generalization
by: Machlanski, Damian, et al.
Published: (2025)

HyperGVL: Benchmarking and Improving Large Vision-Language Models in Hypergraph Understanding and Reasoning
by: Wei, Yanbin, et al.
Published: (2026)

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning
by: Zhu, Yingjie, et al.
Published: (2024)

Mind the Gap: Analyzing Lacunae with Transformer-Based Transcription
by: Borkar, Jaydeep, et al.
Published: (2024)

3ViewSense: Spatial and Mental Perspective Reasoning from Orthographic Views in Vision-Language Models
by: Zhan, Shaoxiong, et al.
Published: (2026)

No time to train! Training-Free Reference-Based Instance Segmentation
by: Espinosa, Miguel, et al.
Published: (2025)

There is no SAMantics! Exploring SAM as a Backbone for Visual Understanding Tasks
by: Espinosa, Miguel, et al.
Published: (2024)

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
by: Chen, Boyuan, et al.
Published: (2024)

End-to-End Navigation with Vision Language Models: Transforming Spatial Reasoning into Question-Answering
by: Goetting, Dylan, et al.
Published: (2024)

Investigating Spatial Attention Bias in Vision-Language Models
by: Chaudhary, Aryan, et al.
Published: (2025)

GMT: Guided Mask Transformer for Leaf Instance Segmentation
by: Chen, Feng, et al.
Published: (2024)

Towards Grounded Visual Spatial Reasoning in Multi-Modal Vision Language Models
by: Rajabi, Navid, et al.
Published: (2023)

TopViewRS: Vision-Language Models as Top-View Spatial Reasoners
by: Li, Chengzu, et al.
Published: (2024)

Mechanistic Diagnostics of Spatial Lexical Bias in Multimodal Large Language Model Spatial Reasoning
by: Ma, Chuang, et al.
Published: (2026)

STORM: Internalized Modeling for Spatial-Temporal Reasoning in Video-Language Models
by: Liang, Yiming, et al.
Published: (2026)

PROGRESSLM: Towards Progress Reasoning in Vision-Language Models
by: Zhang, Jianshu, et al.
Published: (2026)

Beyond the Vision Encoder: Identifying and Mitigating Spatial Bias in Large Vision-Language Models
by: Zhu, Yingjie, et al.
Published: (2025)

TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable Questions
by: He, Xingwei, et al.
Published: (2024)

debiaSAE: Benchmarking and Mitigating Vision-Language Model Bias
by: Sasse, Kuleen, et al.
Published: (2024)