Behind Video Generation: Observations and Insights on Multimodal Understanding from Kling

This report examines the multimodal understanding stack behind successive generations of Kling video generation models, arguing that video quality is a projection of multimodal understanding across the entire data, conditioning, alignment, and evaluation pipeline. The authors describe architectural components including a shared multimodal foundation model, semantic contract captioning, agentic prompt enhancement, perceptual text encoders, and multi-tiered reward modeling. Open article →