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20242026
most citedVision Language Models See What You Want but not What You See

2 citations · 3 across the 18 of their papers we have counts for

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7 papers · 1 filter

cs.CV2025

Video Models Start to Solve Chess, Maze, Sudoku, Mental Rotation, and Raven' Matrices

Hokin Deng

We show that video generation models could reason now. Testing on tasks such as chess, maze, Sudoku, mental rotation, and Raven's Matrices, leading models such as Sora-2 achieve si…

q-bio.NC2025

Rethinking the Simulation vs. Rendering Dichotomy: No Free Lunch in Spatial World Modelling

Dezhi Luo, Qingying Gao, Hokin Deng

Spatial world models, representations that support flexible reasoning about spatial relations, are central to developing computational models that could operate in the physical wor…

cs.CV2025

Vision-Language Models Mistake Head Orientation for Gaze Direction: Nonverbal Conversation Cues

Zory Zhang, Pinyuan Feng, Bingyang Wang +7

Where someone looks is a nonverbal communication cue that children and adults readily use. How well can Vision-Language Models (VLMs) infer gaze targets? To construct evaluation st…

cs.NE2025

Increasing Computation Resolves Conflicts in Vision Language Models

Bingyang Wang, Yijiang Li, Yitong Qiao +7

Cognitive control, the ability to coordinate competing information sources in pursuit of goals, is fundamental to intelligent behavior. We systematically investigate whether Vision…

cs.AI2025

Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind

Mouad Abrini, Omri Abend, Dina Acklin +105

This volume includes a selection of papers presented at the Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2025 in Philadelphia US on 3rd March 2…

cs.AI2025

The Philosophical Foundations of Growing AI Like A Child

Dezhi Luo, Yijiang Li, Hokin Deng

Despite excelling in high-level reasoning, current language models lack robustness in real-world scenarios and perform poorly on fundamental problem-solving tasks that are intuitiv…

cs.CV2025

Probing Perceptual Constancy in Large Vision-Language Models

Haoran Sun, Bingyang Wang, Suyang Yu +14

Perceptual constancy is the ability to maintain stable perceptions of objects despite changes in sensory input, such as variations in distance, angle, or lighting. This ability is…