Cover Image

When Visual Evidence is Ambiguous: Pareidolia as a Diagnostic Probe for Vision Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Qianpu, Soydaner, Derya, Saunders, Rob
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Attention-Guided Patch-Wise Sparse Adversarial Attacks on Vision-Language-Action Models
by: Zhang, Naifu, et al.
Published: (2025)

Multi-task convolutional neural network for image aesthetic assessment
by: Soydaner, Derya, et al.
Published: (2023)

When Visuals Aren't the Problem: Evaluating Vision-Language Models on Misleading Data Visualizations
by: Lalai, Harsh Nishant, et al.
Published: (2026)

Probing Visual Concepts in Lightweight Vision-Language Models for Automated Driving
by: Theodoridis, Nikos, et al.
Published: (2026)

Seeing Faces in Things: A Model and Dataset for Pareidolia
by: Hamilton, Mark, et al.
Published: (2024)

AQuA: Toward Strategic Response Generation for Ambiguous Visual Questions
by: Jang, Jihyoung, et al.
Published: (2026)

When the Prompt Becomes Visual: Vision-Centric Jailbreak Attacks for Large Image Editing Models
by: Hou, Jiacheng, et al.
Published: (2026)

When Does Multimodal AI Help? Diagnostic Complementarity of Vision-Language Models and CNNs for Spectrum Management in Satellite-Terrestrial Networks
by: Li, Yuanhang
Published: (2026)

Have Large Vision-Language Models Mastered Art History?
by: Strafforello, Ombretta, et al.
Published: (2024)

Probing Vision-Language Understanding through the Visual Entailment Task: promises and pitfalls
by: Pitta, Elena, et al.
Published: (2025)

Beyond Visual Memory: Mechanistic Diagnostics of Latent Visual Reasoning
by: Guo, Garvin, et al.
Published: (2026)

Probing Visual Planning in Image Editing Models
by: Zhou, Zhimu, et al.
Published: (2026)

Language-Guided Invariance Probing of Vision-Language Models
by: Lee, Jae Joong
Published: (2025)

Probing Perceptual Constancy in Large Vision-Language Models
by: Sun, Haoran, et al.
Published: (2025)

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models
by: Saini, Harshvardhan, et al.
Published: (2026)

Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge
by: Baru, Lalith Bharadwaj, et al.
Published: (2025)

Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach
by: Guan, Jiwei, et al.
Published: (2024)

MM-CoT:A Benchmark for Probing Visual Chain-of-Thought Reasoning in Multimodal Models
by: Zhang, Jusheng, et al.
Published: (2025)

Are Large Vision Language Models Truly Grounded in Medical Images? Evidence from Italian Clinical Visual Question Answering
by: Felizzi, Federico, et al.
Published: (2025)

CounterCount: A Diagnostic Framework for Counting Bias in Vision Language Models
by: Alzahrani, Reem, et al.
Published: (2026)

Energy-Driven Adaptive Visual Token Pruning for Efficient Vision-Language Models
by: He, Jialuo, et al.
Published: (2026)

When Text Hijacks Vision: Benchmarking and Mitigating Text Overlay-Induced Hallucination in Vision Language Models
by: Yakun, Cui, et al.
Published: (2026)

GENFIG1: Visual Summaries of Scholarly Work as a Challenge for Vision-Language Models
by: Guan, Yaohan, et al.
Published: (2026)

QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models
by: Zhang, Yudong, et al.
Published: (2025)

Improving Medical Diagnostics with Vision-Language Models: Convex Hull-Based Uncertainty Analysis
by: Catak, Ferhat Ozgur, et al.
Published: (2024)

When Alignment Fails: Multimodal Adversarial Attacks on Vision-Language-Action Models
by: Yan, Yuping, et al.
Published: (2025)

When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models
by: Ortu, Francesco, et al.
Published: (2025)

Vision-Language Models Suppress Female Representations Under Ambiguous Input
by: Marin-Llobet, Arnau, et al.
Published: (2026)

PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions
by: Zhang, Yudong, et al.
Published: (2024)

Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models
by: Chae, Hyunsik, et al.
Published: (2025)

Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models
by: Zhou, Zijie, et al.
Published: (2026)

Skill-Conditioned Visual Geolocation for Vision-Language Models
by: Yang, Chenjie, et al.
Published: (2026)

Generative Visual Communication in the Era of Vision-Language Models
by: Vinker, Yael
Published: (2024)

Probing and Inducing Combinational Creativity in Vision-Language Models
by: Peng, Yongqian, et al.
Published: (2025)

Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models
by: Tan, Huajie, et al.
Published: (2025)

GSRender: Deduplicated Occupancy Prediction via Weakly Supervised 3D Gaussian Splatting
by: Sun, Qianpu, et al.
Published: (2024)

Reasoning under Vision: Understanding Visual-Spatial Cognition in Vision-Language Models for CAPTCHA
by: Song, Python, et al.
Published: (2025)

Auto-Comp: An Automated Pipeline for Scalable Compositional Probing of Contrastive Vision-Language Models
by: Sbrolli, Cristian, et al.
Published: (2026)

Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models
by: Babaiee, Zahra, et al.
Published: (2025)

Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight
by: Yang, Yi, et al.
Published: (2025)