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Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify what ...
扩散语言模型展现出较高的发展潜力,但在代码等形式语言生成任务中,仍难以稳定满足语法约束。针对这一问题,本文提出了针对扩散语言模型约束解码方法 —— LAVE,通过对扩散语言模型的中间输出进行前瞻补全与语法验证,为模型生成过程提供了可靠的语法保障。实验表明,LAVE 能够显著提升多种扩散语言模型生成形式化语言(例如源代码、JSON、化学表达式)的语法正确率,同时改善功能正确率,并保持较低的推理开销。
Abstract: Mainstream wireless communication networks mostly adopt the layered protocol encapsulation mechanism, which inevitably introduces natural redundancy into protocols. To fully exploit the ...