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.
