CompressedBART: Fine-Tuning for Summarization through Latent Space Compression (Paper Review/Described)
Paper title: A Robust Approach to Fine-tune Pre-trained Transformer-based Models for Text Summarization through Latent Space Compression. “Can we compress a pre-trained encoder while keeping its language generation abilities?”
This is the main question that this paper is trying to answer. It solely focuses on an encoder-decoder architecture to fine-tune a…
CompressedBART: Fine-Tuning for Summarization through Latent Space Compression (Paper Review/Described) Paper title: A Robust Approach to Fine-tune Pre-trained Transformer-based Models for Text Summarization through Latent Space Compression. “Can we compress a pre-trained encoder while keeping its language generation abilities?”
This is the main question that this paper is trying to answer. It solely focuses on an encoder-decoder architecture to fine-tune a… nlp
CompressedBART FineTuning Summarization Latent Space Compression Paper ReviewDescribed Paper title Robust Approach Finetune Pretrained Transformerbased Models Text Summarization Latent Space Compression “Can compress pretrained encoder keeping language generation abilities” main question paper trying answer solely focus encoderdecoder architecture finetune a… nlp