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Current LLMs falter in domain-specific reasoning, revealing critical gaps that Benchmark Agent's evolving benchmarks can help address.
Forget codebook indices: BitDance uses binary diffusion to predict high-entropy binary tokens, achieving SOTA image generation with a fraction of the parameters and a massive speedup.
A single tokenizer, UniWeTok, now handles both high-fidelity image reconstruction and complex semantic understanding for multimodal LLMs, outperforming existing methods with far less training data.
