Kling multimodal understanding insights for video generation
Kling-MLLM unifies image video audio inputs; captioning and prompt enhancement act as semantic contracts that maximize description density in the generation chain.
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Factorized MLLM embeddings for composed image retrieval
FactEmbed decouples compositional query comprehension from discriminative embeddings using factorized latents and contrastive losses for improved CIR performance.