Architectural Sampling: Test-Time Scaling via Computational Diversity in Frozen Vision-Language Models
cs.CV, cs.AI
Submitted: 2026-10-01
Updated: 2026-10-01
Project page: https://akshit21112002.github.io/Architectural-Sampling/ABSTRACT
Terminology
Sources
- Qwen3-VL Technical Report
- Qwen2.5-VL Technical Report
- Training-Free Looped Transformers
- Evaluating Large Language Models Trained on Code
- BLINK: Multimodal Large Language Models Can See but Not Perceive
- Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs
- Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
- MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
- Inner Loop Inference for Pretrained Transformers: Unlocking Latent Capabilities Without Training
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- CountQA: How Well Do MLLMs Count in the Wild?
- Gemma 3 Technical Report
- Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
- Looping Back to Move Forward: Recursive Transformers for Efficient and Flexible Large Multimodal Models
- MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
- InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
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