A Very Big Video Reasoning Suite

arXiv:2602.20159 · cs.CV, cs.AI, cs.LG, cs.MM, cs.RO · Submitted 2026-02-23 · Read on arXiv

cs.CV, cs.AI, cs.LG, cs.MM, cs.RO

Submitted: 2026-02-23

Updated: 2026-09-23

Terminology

• Abstraction — 59× in this paper · explained in 1 episode
• Very Big Video Reasoning — 47× in this paper
• Benchmark — 28× in this paper · explained in 2 episodes
• Core — 20× in this paper · explained in 2 episodes
• Generalization — 19× in this paper · explained in 13 episodes
• Consistency — 14× in this paper · explained in 3 episodes
• Alignment — 10× in this paper · explained in 1 episode
• Fidelity — 6× in this paper · explained in 2 episodes
• Task Completion — 6× in this paper
• Transformer — 6× in this paper · explained in 2 episodes
• Visual Quality — 6× in this paper
• Accuracy — 5× in this paper · explained in 1 episode
• Evaluation Dimensions — 5× in this paper · explained in 3 episodes
• Diffusion Model — 4× in this paper · explained in 8 episodes
• Temporal consistency — 4× in this paper · explained in 2 episodes
• Causal Inference — 3× in this paper · explained in 4 episodes
• Computational Biology — 3× in this paper · explained in 2 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Reasoning Logic — 3× in this paper
• Verification — 3× in this paper · explained in 2 episodes
• APEX — 2× in this paper · explained in 1 episode
• Bayesian Inference — 2× in this paper · explained in 5 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Pairwise Comparisons — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Verifiability — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Affordance — 1× in this paper · explained in 1 episode
• Amazon Web Services — 1× in this paper
• Aphasia — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Dead Letter Queue — 1× in this paper
• Distillation — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• LoRA Adaptation — 1× in this paper · explained in 2 episodes
• Modularity — 1× in this paper · explained in 9 episodes
• Multimodal Integration — 1× in this paper · explained in 2 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Overall In-Domain — 1× in this paper
• Physical Constraints — 1× in this paper · explained in 7 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Residualization — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Temporal Reasoning — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• MMGR: Multi-Modal Generative Reasoning Benchmark and Evaluation
• TiViBench: Benchmarking Think-in-Video Reasoning for Video Generative Models
• Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark
• LTX-2: Efficient Joint Audio-Visual Foundation Model
• RULER-Bench: Probing Rule-based Reasoning Abilities of Next-level Video Generation Models for Vision Foundation Intelligence
• HunyuanVideo: A Systematic Framework For Large Video Generative Models
• Core Knowledge Deficits in Multi-Modal Language Models
• Can World Simulators Reason? Gen-ViRe: A Generative Visual Reasoning Benchmark
• The Philosophical Foundations of Growing AI Like A Child
• Increasing Computation Resolves Conflicts in Vision Language Models
• V-ReasonBench: Toward Unified Reasoning Benchmark Suite for Video Generation Models
• SVBench: Evaluation of Video Generation Models on Social Reasoning
• Movie Gen: A Cast of Media Foundation Models
• Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm
• Wan: Open and Advanced Large-Scale Video Generative Models
• Video models are zero-shot learners and reasoners
• Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks
• CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
• Open-Sora: Democratizing Efficient Video Production for All

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