Ming Zhong
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DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization.

Introduction

DialogLED is a pre-trained model for long dialogue understanding and summarization. It builds on the Longformer-Encoder-Decoder (LED) architecture and uses window-based denoising as the pre-training task on a large amount of long dialogue data for further training. Here is a base version of DialogLED, the input length is limited to 16,384 in the pre-training phase.

Finetuning for Downstream Tasks

Please refer to our GitHub page.