Unverified50% confidenceFactExact time
Modern Transformer-based language models are pretrained on large-scale natural text, and injecting structured annotations disrupts the input form the model is accustomed to and introduces noise.
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Long-term
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9/11/2026
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UnverifiedThe Transformer in diffusion language models typically employs bidirectional attention and needs to receive timestep information (injected via sinusoidal encoding or AdaLN), so standard pre-trained language model weights cannot be directly reused.77% similarUnverifiedThe additionally injected syntactic and rhetorical information is fundamentally structurally incompatible with Transformer-based language model architectures.76% similarVerifiedAlmost all mainstream large language models are currently based on the Transformer architecture75% similarUnverified语码转换需要真实数据，因为自然语码转换是潜意识的语言习惯，刻意表演出的语码转换会显得生硬72% similarVerifiedLarge language models are essentially stateless and have no native cross-session memory mechanism, which is rooted in the Transformer architecture itself.70% similar
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