Your Daily AI Research tl;dr — 2022–08–24 🧠

Z-Code++, BEIT Pretraining for All Vision and Vision-Language Tasks and Google research’s AI image noise reduction…

Welcome to your official daily AI research tl;dr (often with code and news) for AI professionals where I share the most exciting papers I find daily, along with a one-liner summary to help you quickly determine if the article (and code) is worth investigating.

1️⃣ Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization

As the title says, Z-code++ is “a new pre-trained language model optimized for abstractive text summarization.”

Wonder what is abstractive text summarization?

“Abstractive summarizers paraphrase the idea of the source documents in a new form, and have a potential of generating more concise and coherent summaries.”

Link to the paper: https://arxiv.org/pdf/2208.09770.pdf

2️⃣ Image as a Foreign Language: BEIT Pretraining for All Vision and Vision-Language Tasks

“A general-purpose multimodal foundation model BEIT-3, which achieves state-of-the-art transfer…