Beyond Static Visual Tokens: Structured Sequential Visual Chain-of-Thought Reasoning

arXiv:2603.26737 · cs.CV, cs.AI · Submitted 2026-03-21 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-03-21

Updated: 2026-08-29

Terminology

• Benchmark — 10× in this paper · explained in 2 episodes
• Multimodal Reasoning — 10× in this paper · explained in 5 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Embeddings — 7× in this paper · explained in 2 episodes
• GRPO — 6× in this paper · explained in 6 episodes
• Grounding — 6× in this paper · explained in 3 episodes
• Reinforcement Learning — 6× in this paper · explained in 4 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Chain-of-Thought Prompting — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Supervised Fine-Tuning — 3× in this paper
• Abstraction — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• GRPO Objective — 1× in this paper · explained in 2 episodes
• KL Regularization — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Test-time Scaling — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes

Sources

• VIPER: Visual Perception and Explainable Reasoning for Sequential Decision-Making
• Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic
• MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning
• Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
• CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers
• Taming Transformers for High-Resolution Image Synthesis
• VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction
• Interleaved-Modal Chain-of-Thought
• MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
• Weakly Supervised Grounding for VQA in Vision-Language Transformers
• Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models
• AIM-CoT: Active Information-driven Multimodal Chain-of-Thought for Vision-Language Reasoning
• REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering
• Visual Instruction Tuning
• Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
• POINTS1.5: Building a Vision-Language Model towards Real World Applications
• Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
• Ovis: Structural Embedding Alignment for Multimodal Large Language Model
• Compositional Chain-of-Thought Prompting for Large Multimodal Models
• Learning Transferable Visual Models From Natural Language Supervision

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