Mid-Training Language Models on Raw Video

arXiv:2610.11019 · cs.CV, cs.AI, cs.LG · Submitted 2026-10-08 · Read on arXiv

cs.CV, cs.AI, cs.LG

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/huggingface/lighteval

Project page: https://jd730.github.io/projects/RawVideoMidTraining

Terminology

• Benchmark — 37× in this paper · explained in 2 episodes
• Instruction Tuning — 14× in this paper · explained in 2 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• World Model — 3× in this paper · explained in 7 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Computational overhead — 2× in this paper · explained in 2 episodes
• Scaling Laws — 2× in this paper · explained in 4 episodes
• Temporal Reasoning — 2× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Downstream Tasks — 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
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Multimodal Learning — 1× in this paper · explained in 2 episodes
• Perplexity — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• GPT-4 Technical Report
• LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence
• V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
• Program Synthesis with Large Language Models
• Qwen3-VL Technical Report
• Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
• Training Verifiers to Solve Math Word Problems
• Gemma 3 Technical Report
• Gaussian Error Linear Units (GELUs)
• Scaling Laws for Neural Language Models
• DeepSeek-VL: Towards Real-World Vision-Language Understanding
• Cosmos 3: Omnimodal World Models for Physical AI
• VideoGPT: Video Generation using VQ-VAE and Transformers
• Qwen3 Technical Report

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