Probing Mechanical Reasoning in Large Vision Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Sun, Haoran, Gao, Qingying, Lyu, Haiyun, Luo, Dezhi, Li, Yijiang, Deng, Hokin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Vision Language Models Know Law of Conservation without Understanding More-or-Less
by: Luo, Dezhi, et al.
Published: (2024)
by: Luo, Dezhi, et al.
Published: (2024)
Rethinking the Simulation vs. Rendering Dichotomy: No Free Lunch in Spatial World Modelling
by: Luo, Dezhi, et al.
Published: (2025)
by: Luo, Dezhi, et al.
Published: (2025)
Vision Language Models See What You Want but not What You See
by: Gao, Qingying, et al.
Published: (2024)
by: Gao, Qingying, et al.
Published: (2024)
Brain-like Functional Organization within Large Language Models
by: Sun, Haiyang, et al.
Published: (2024)
by: Sun, Haiyang, et al.
Published: (2024)
Large Language Models Think Too Fast To Explore Effectively
by: Pan, Lan, et al.
Published: (2025)
by: Pan, Lan, et al.
Published: (2025)
Large Language Models as Simulative Agents for Neurodivergent Adult Psychometric Profiles
by: Chiappone, Francesco, et al.
Published: (2026)
by: Chiappone, Francesco, et al.
Published: (2026)
A Disproof of Large Language Model Consciousness: The Necessity of Continual Learning for Consciousness
by: Hoel, Erik
Published: (2025)
by: Hoel, Erik
Published: (2025)
Probing for Consciousness in Machines
by: Immertreu, Mathis, et al.
Published: (2024)
by: Immertreu, Mathis, et al.
Published: (2024)
Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test
by: Hao, Guangfu, et al.
Published: (2025)
by: Hao, Guangfu, et al.
Published: (2025)
Use-dependent Biases as Optimal Action under Information Bottleneck
by: Deng, Hokin, et al.
Published: (2024)
by: Deng, Hokin, et al.
Published: (2024)
Disentangling the Factors of Convergence between Brains and Computer Vision Models
by: Raugel, Joséphine, et al.
Published: (2025)
by: Raugel, Joséphine, et al.
Published: (2025)
"Just in Time" World Modeling Supports Human Planning and Reasoning
by: Chen, Tony, et al.
Published: (2026)
by: Chen, Tony, et al.
Published: (2026)
Memory, Consciousness and Large Language Model
by: Li, Jitang, et al.
Published: (2024)
by: Li, Jitang, et al.
Published: (2024)
Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning
by: Pinier, Christopher, et al.
Published: (2025)
by: Pinier, Christopher, et al.
Published: (2025)
A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract Reasoning
by: Do, Quan, et al.
Published: (2024)
by: Do, Quan, et al.
Published: (2024)
Understanding Human Limits in Pattern Recognition: A Computational Model of Sequential Reasoning in Rock, Paper, Scissors
by: Cross, Logan, et al.
Published: (2025)
by: Cross, Logan, et al.
Published: (2025)
The Computational Mechanisms of Detached Mindfulness
by: Conway-Smith, Brendan, et al.
Published: (2024)
by: Conway-Smith, Brendan, et al.
Published: (2024)
Do Language Models Align with Brains? Prediction Scores Are Not Enough
by: Jia, Xiao
Published: (2026)
by: Jia, Xiao
Published: (2026)
Brain-Language Model Alignment: Insights into the Platonic Hypothesis and Intermediate-Layer Advantage
by: López-Cardona, Ángela, et al.
Published: (2025)
by: López-Cardona, Ángela, et al.
Published: (2025)
Learning in Focus: Detecting Behavioral and Collaborative Engagement Using Vision Transformers
by: Penchala, Sindhuja, et al.
Published: (2025)
by: Penchala, Sindhuja, et al.
Published: (2025)
Large language models surpass human experts in predicting neuroscience results
by: Luo, Xiaoliang, et al.
Published: (2024)
by: Luo, Xiaoliang, et al.
Published: (2024)
Scale-Invariance Drives Convergence in AI and Brain Representations
by: Yu, Junjie, et al.
Published: (2025)
by: Yu, Junjie, et al.
Published: (2025)
BrainCSD: A Hierarchical Consistency-Driven MoE Foundation Model for Unified Connectome Synthesis and Multitask Brain Trait Prediction
by: Shen, Xiongri, et al.
Published: (2025)
by: Shen, Xiongri, et al.
Published: (2025)
Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning
by: Ma, Xueqi, et al.
Published: (2025)
by: Ma, Xueqi, et al.
Published: (2025)
CRCC: Contrast-Based Robust Cross-Subject and Cross-Site Representation Learning for EEG
by: Wong, Xiaobin, et al.
Published: (2026)
by: Wong, Xiaobin, et al.
Published: (2026)
Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners
by: Csaba, Botos, et al.
Published: (2026)
by: Csaba, Botos, et al.
Published: (2026)
Explanations of Large Language Models Explain Language Representations in the Brain
by: Rahimi, Maryam, et al.
Published: (2025)
by: Rahimi, Maryam, et al.
Published: (2025)
From Priors to Predictions: Explaining and Visualizing Human Reasoning in a Graph Neural Network Framework
by: Do, Quan, et al.
Published: (2025)
by: Do, Quan, et al.
Published: (2025)
Effort as Ceiling, Not Dial: Reasoning Budget Does Not Modulate Cognitive Cost Alignment Between Humans and Large Reasoning Models
by: Hu, Yueqing, et al.
Published: (2026)
by: Hu, Yueqing, et al.
Published: (2026)
Hán Dān Xué Bù (Mimicry) or Qīng Chū Yú Lán (Mastery)? A Cognitive Perspective on Reasoning Distillation in Large Language Models
by: Hu, Yueqing, et al.
Published: (2026)
by: Hu, Yueqing, et al.
Published: (2026)
Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain
by: Mischler, Gavin, et al.
Published: (2024)
by: Mischler, Gavin, et al.
Published: (2024)
Exploring Human Behavior During Abstract Rule Inference and Problem Solving with the Cognitive Abstraction and Reasoning Corpus
by: Ahn, Caroline, et al.
Published: (2026)
by: Ahn, Caroline, et al.
Published: (2026)
Dynamical Mechanisms for Coordinating Long-term Working Memory Based on the Precision of Spike-timing in Cortical Neurons
by: Sejnowski, Terrence J.
Published: (2025)
by: Sejnowski, Terrence J.
Published: (2025)
Challenges in Grounding Language in the Real World
by: Lindes, Peter, et al.
Published: (2025)
by: Lindes, Peter, et al.
Published: (2025)
Human-Like Geometric Abstraction in Large Pre-trained Neural Networks
by: Campbell, Declan, et al.
Published: (2024)
by: Campbell, Declan, et al.
Published: (2024)
Moral Agency in Silico: Exploring Free Will in Large Language Models
by: Porter, Morgan S.
Published: (2024)
by: Porter, Morgan S.
Published: (2024)
A Case for AI Consciousness: Language Agents and Global Workspace Theory
by: Goldstein, Simon, et al.
Published: (2024)
by: Goldstein, Simon, et al.
Published: (2024)
One Brain, Omni Modalities: Towards Unified Non-Invasive Brain Decoding with Large Language Models
by: Tang, Changli, et al.
Published: (2026)
by: Tang, Changli, et al.
Published: (2026)
Talking to the brain: Using Large Language Models as Proxies to Model Brain Semantic Representation
by: Liu, Xin, et al.
Published: (2025)
by: Liu, Xin, et al.
Published: (2025)
Large Language Models Align with the Human Brain during Creative Thinking
by: Ismayilzada, Mete, et al.
Published: (2026)
by: Ismayilzada, Mete, et al.
Published: (2026)
Similar Items
-
Vision Language Models Know Law of Conservation without Understanding More-or-Less
by: Luo, Dezhi, et al.
Published: (2024) -
Rethinking the Simulation vs. Rendering Dichotomy: No Free Lunch in Spatial World Modelling
by: Luo, Dezhi, et al.
Published: (2025) -
Vision Language Models See What You Want but not What You See
by: Gao, Qingying, et al.
Published: (2024) -
Brain-like Functional Organization within Large Language Models
by: Sun, Haiyang, et al.
Published: (2024) -
Large Language Models Think Too Fast To Explore Effectively
by: Pan, Lan, et al.
Published: (2025)