Transformers for Thread Detection and Response Generation

The author presents an end-to-end model utilizing Transformers to identify threads and prioritize responses in multi-party conversations, enhancing dialogue management efficiency. By decomposing the problem into thread detection, prioritization, and performance optimization, the model achieves up to a 10x speed improvement with increased accuracy.