UVLM: A Universal Vision-Language Model Loader for Reproducible Multimodal Benchmarking

arXiv:2603.13893 · cs.LG, cs.AI, cs.CV · Submitted 2026-03-14 · Read on arXiv

Joan Perez, Giovanni Fusco

cs.LG, cs.AI, cs.CV

Submitted: 2026-03-14

Updated: 2026-08-21

Code: https://github.com/perezjoan/UVLM

Terminology

• Benchmarking — 20× in this paper · explained in 3 episodes
• Benchmark — 18× in this paper · explained in 2 episodes
• Quantization — 7× in this paper · explained in 12 episodes
• Transformer — 6× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Tokenization — 5× in this paper · explained in 2 episodes
• Prompt Engineering — 4× in this paper · explained in 4 episodes
• Universal Vision-Language Model Loader — 4× in this paper
• Trace — 3× in this paper · explained in 2 episodes
• Vision-Language Models (VLMs) — 3× in this paper · explained in 6 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Mean Absolute Error — 2× in this paper
• Mean Absolute Percentage Error — 2× in this paper
• Self-consistency — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Chain-of-Thought (CoT) Prompting — 1× in this paper · explained in 3 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Decode — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Graceful Degradation — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes

Sources

• Qwen2.5-VL Technical Report
• LLaVA-OneVision: Easy Visual Task Transfer

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