TL;DR of the paper, generated automatically.

This is a technical report from Kling's team on what they learned about multimodal understanding across successive generations of their video model.

• Core argument: Video generation is now limited by semantic control rather than rendering. The paper says generation quality reflects how well the model understands multimodal inputs across data, conditioning, alignment, and evaluation.
• Main pieces: Kling-MLLM, a shared foundation model covering image, video, audio, and interleaved inputs; reference-grounded captioning; prompt enhancement; reward models; and task-specific automatic evaluation.
• Specific findings: A reliable text encoder comes from perceptual training rather than stronger language ability, and candidates can be screened from text alone before end-to-end training.

Short version: the hard part is no longer making the pixels, it's knowing what to make.