Unverified50% confidenceFactExact time
The survey prospectively discusses new paradigms such as Latent Tokenization and Visual Tokenization that may replace traditional tokenizers.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/30/2026
First Seen
Valid until: 12/29/2026
Sources
Related Entities
Related Claims
Unverified经过 Attention 处理后得到的向量称为 Contextualized Embedding，能结合上下文让相同 Token 根据语境得到不同表示68% similarUnverifiedThe 'image-to-text-to-image' paradigm breaks down the opaque image-to-image process into two interpretable steps, with the intermediate text prompt serving as an editable intermediate representation66% similarUnverifiedThe decoder-only architecture uses a causal attention mask to ensure each token can only attend to its preceding context, making it suitable for autoregressive text generation tasks.60% similarUnverified提示工程已从早期的关键词拼接演进为包含角色设定、思维链、少样本示例等技术的完整体系60% similar
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