Flow-of-Thought: A Framework for Visual Reasoning

arXiv:2610.09746 · cs.CV · Submitted 2026-10-07 · Read on arXiv

cs.CV

Submitted: 2026-10-07

Updated: 2026-10-07

Terminology

• Accuracy — 21× in this paper · explained in 1 episode
• Trace — 13× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Foundation Model — 4× in this paper · explained in 3 episodes
• Foundation Models — 4× in this paper · explained in 7 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Ordinary Differential Equations (ODEs) — 1× in this paper · explained in 2 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes

Sources

• On the Measure of Intelligence
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• Self-Supervised Visual Preference Alignment
• Let's Verify Step by Step
• Flow Matching for Generative Modeling
• Chain-of-Sketch: Enabling Global Visual Reasoning
• TopoBench: Benchmarking LLMs on Hard Topological Reasoning
• VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs
• Latent Sketchpad: Sketching Visual Thoughts to Elicit Multimodal Reasoning in MLLMs

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