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Kling multimodal understanding report

Project Nov 4, 2026

Kling Team’s November 3 technical report explains how multimodal understanding connects training captions, prompt enhancement, text encoders, reward models and video evaluation.

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Kling Team’s diagram connects data, conditioning, alignment and evaluation to a shared Kling-MLLM foundation with image, video, audio and interleaved inputs.
Figure 1 from Kling Team’s November 3 technical report. It illustrates the authors’ architecture and argument, not an independently reproduced quality result. Source: Kling Team / arXiv
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The Kling Team report Behind Video Generation: Observations and Insights on Multimodal Understanding from Kling was submitted to arXiv on November 3, 2026. It describes an understanding stack spanning data, conditioning, alignment and evaluation, drawing on successive Kling generations. The report is a technical disclosure rather than a new downloadable model or a new product-access announcement. Its architectural findings and experimental conclusions are the authors’ claims.