---
title: "Google AI Researchers Propose a Noise-Aware Training Method (NAT) for Layout-Aware Language Models"
url: https://daily.dev/posts/google-ai-researchers-propose-a-noise-aware-training-method-nat-for-layout-aware-language-models-izbsvqd74
source_url: https://www.marktechpost.com/2024/04/07/google-ai-researchers-propose-a-noise-aware-training-method-nat-for-layout-aware-language-models/
type: article
source: "Machine Learning News"
published: 2024-04-08T01:06:38.953Z
updated: 2024-05-09T08:39:06.345Z
tags: ["google-ai"]
reading_time: 4
upvotes: 1
comments: 0
language: en
---

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# Google AI Researchers Propose a Noise-Aware Training Method (NAT) for Layout-Aware Language Models

**[Machine Learning News](https://daily.dev/sources/mlnews)** · 4 min read · 1 upvotes · 0 comments

## Summary

Researchers from Google AI have proposed a Noise-Aware Training (NAT) method for layout-aware language models. The method aims to address the challenges in training robust document extractors within strict time constraints, with the goal of improving the efficiency and scalability of document processing workflows in enterprise environments.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.marktechpost.com/2024/04/07/google-ai-researchers-propose-a-noise-aware-training-method-nat-for-layout-aware-language-models/>

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---

Tags: [#google-ai](https://daily.dev/tags/google-ai)

[View this post on daily.dev](https://daily.dev/posts/google-ai-researchers-propose-a-noise-aware-training-method-nat-for-layout-aware-language-models-izbsvqd74)