Visual Language Models Vlms Papers

Discover 3 peer-reviewed studies in Visual Language Models Vlms (2024–2025). Explore research findings powered by Prolific's diverse participant panel.

This page lists 3 peer-reviewed papers in the research area of Visual Language Models Vlms in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (3 of 3)

Visual cognition in multimodal large language models

Authors: LM Schulze Buschoff, E Akata, M Bethge

Year: 2025

Published in: Nature Machine ..., 2025 - nature.com

Institution: Max Planck Institute

Research Area: Visual Cognition, Multimodal Large Language Models (MLLMs), Vision-Language Models (VLMs)

Discipline: Cognitive Science, Artificial Intelligence, Computer Vision

Vision-based large language models show proficiency in visual data interpretation but fall short in human-like abilities for causal reasoning, intuitive physics, and social cognition.

Methods: Controlled experiments evaluating model performance on tasks related to intuitive physics, causal reasoning, and intuitive psychology using visual processing benchmarks.

Key Findings: Model capabilities in understanding physical interactions, causal relationships, and social preferences.

DOI: https://doi.org/10.1038/s42256-024-00963-y

Citations: 70
Image-conditioned human language comprehension and psychometric benchmarking of visual language models

Authors: SN Pushpita, R Levy

Year: 2024

Published in: Proceedings of the 28th Conference on ..., 2024 - aclanthology.org

Institution: Masachusetts Institute of Technology

Research Area: Visual Language Models (VLMs), Psycholinguistics, Psychometric Benchmarking

Discipline: Artificial Intelligence

DOI: https://doi.org/10.18653/v1/2024.conll-1.34
MAIA: A benchmark for multimodal AI assessment

Authors: D Testa, G Bonetta, R Bernardi

Year: 2024

Published in: Proceedings of the ..., 2025 - aclanthology.org

Institution: Università di Roma La Sapienza, Fondazione Bruno Kessler, University of Pisa

Research Area: Multimodal AI Assessment, Visual Language Models (VLMs), Video Understanding, Computational Linguistics

Discipline: Artificial Intelligence, Computational Linguistics