Awesome-LLM-Long-Context-Modeling

Introduction

Awesome-LLM-Long-Context-Modeling is a GitHub repository dedicated to aggregating essential papers and blogs related to long context modeling in large language models (LLMs). It serves as a comprehensive resource for researchers and practitioners in this rapidly evolving field.

Key Features

• Comprehensive Collection: Curated must-read papers and blogs, ranging from foundational theories to cutting-edge research in long context modeling.
• Organized Structure: Content is neatly categorized into sections such as survey papers, efficient attention mechanisms, state space models, and long text generation techniques.
• Up-to-Date Information: Regular updates on the latest advancements, ensuring users have access to the most current literature and resources.

Benefits

• Research Facilitation: Provides researchers with a structured pathway to discover and access vital information in long context modeling for LLMs.
• Guidance for Practitioners: Helps industry practitioners keep up with significant developments and insights that can inform their work with LLMs.
• Community Collaboration: Encourages contributions and collaboration among users, leading to a richer repository of knowledge.

Highlights

• Inclusion of related topics such as compressing context, retrieval-augmented generation (RAG), and dynamic token pruning.
• Features a star history to track the repository's popularity and impact within the community.
• Engages with contributors for acknowledging inputs and facilitating discussions, enhancing community involvement.