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From the 1 of 11 linked papers with an AI index.

most citedEgocentric Bias in Vision-Language Models

1 citations · 1 across the 1 of their papers we have counts for

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11 papers

cs.CV20261 cited

Egocentric Bias in Vision-Language Models

Maijunxian Wang, Yijiang Li, Bingyang Wang +6

The paper introduces FlipSet, a benchmark that tests vision‑language models on Level‑2 visual perspective taking by requiring them to mentally rotate 2D character strings, and find…

cs.CV2026

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.AI2026

MagicAgent: Towards Generalized Agent Planning

Xuhui Ren, Shaokang Dong, Chen Yang +21

The evolution of Large Language Models (LLMs) from passive text processors to autonomous agents has established planning as a core component of modern intelligence. However, achiev…

cs.CV2026

A Very Big Video Reasoning Suite

Maijunxian Wang, Ruisi Wang, Juyi Lin +53

Rapid progress in video models has largely focused on visual quality, leaving their reasoning capabilities underexplored. Video reasoning grounds intelligence in spatiotemporally c…

cs.CV2026

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…

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…