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Forget RLHF, denoising feedback offers a surprisingly effective and scalable alternative for training diffusion language models.
Omni-modal LLMs can ace captioning and QA, but AVID reveals they're surprisingly bad at spotting audio-visual inconsistencies in videos, a crucial skill for trustworthy AI.
Ditch the slow, iterative zooming during MLLM inference: Region-to-Image Distillation lets you bake those agentic zooming benefits directly into a single forward pass.
