…Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think (2026) Reward Sharpness-Aware Fine-Tuning for Diffusion Models (2026) Step-level Denoising-time Diffusion Alignment with Multiple Objectives (2026) Astrolabe…
…even as the rollout progresses. AdaState replaces this static anchor with a self-evolving one. We reserve a hidden latent slot inside the KV cache that the model denoises alongside each chunk…
…Hidir Yesiltepe , , , , , , Abstract VideoMLA reduces memory usage in video diffusion models by replacing per-head keys and values with shared low-rank content and decoupled 3D-RoPE positional keys, maintaining quality while…
…A native inference engine enables efficient multi-agent rollout through shared visual prefix and KV cache reuse . Across V*, CountBench, the RefCOCO family, and HallusionBench, Visual Para-Thinker++ consistently outperforms single-trajectory…
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