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Ditching the vision encoder actually *improves* multimodal understanding at scale, proving that pixel embeddings alone can achieve state-of-the-art results in unified multimodal models.
LALMs struggle more with *hearing* the evidence than *reasoning* about it, and EvA's evidence-first fusion architecture proves it.
