This repository serves as a curated bibliography of research papers related to BERT and its variants, targeting NLP researchers and practitioners. It aims to provide a comprehensive and organized overview of the rapidly evolving field of transformer-based language models.

How It Works

The repository categorizes papers into logical sections, covering areas such as survey papers, downstream tasks (e.g., question answering, generation), model modifications, transformer variants, and domain-specific applications. This structured approach allows users to easily navigate and discover relevant research.

Quick Start & Requirements

No installation or execution is required. This is a static list of academic papers.

Highlighted Details

• Extensive categorization of BERT-related research.
• Covers a wide range of NLP tasks and model architectures.
• Includes links to papers and, where available, GitHub repositories.
• Regularly updated to reflect new publications.

Maintenance & Community

The project is maintained by tomohide shibata. Feedback is welcomed.

Licensing & Compatibility

The repository itself is licensed under the MIT License. The content consists of links to academic papers, which are subject to their respective publication licenses.

Limitations & Caveats

This is a curated list of papers and does not provide code or implementations. The breadth of coverage means some niche areas might be less detailed.