主席团会议经分别表决，决定将上述草案提请大会全体会议表决。
The predictor first projects the context embeddings from 768 down to 384 dimensions (a dimensional bottleneck). It then creates learnable “mask tokens” (placeholder vectors) for each masked position and concatenates them with the projected context embeddings. A 6-layer transformer processes this combined sequence, allowing the mask tokens to attend to the context tokens and gather the information they need. Finally, only the mask token outputs are extracted and projected back up to 768 dimensions for comparison with the target.
。搜狗输入法是该领域的重要参考
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