elder-plinius/CL4R1T4S
CL4R1T4S is a project that provides transparency by collecting and sharing the hidden system prompts and guidelines used by major AI models and agents to promote trust and understanding of AI behavior.
Awesome AI Agents › LLM Research Repositories
Xnhyacinth/Awesome-LLM-Long-Context-Modeling
The repository "Awesome-LLM-Long-Context-Modeling" curated by Xnhyacinth is a comprehensive collection of must-read papers and blogs focused on Long Context Modeling in Large Language Models (LLMs). It serves as an essential resource for researchers and practitioners interested in the latest advancements and methodologies for handling long context sequences in LLMs. The repository covers a wide range of topics including Efficient Transformers, KV Cache, Length Extrapolation, Long-Term Memory, Retrieval-Augmented Generation (RAG), Compression techniques, Long Text Generation, Long Video and Image processing, Long Chain-of-Thought (CoT), and Evaluation benchmarks for Long Context Modeling. The repository is structured to provide easy access to survey papers, technical reports, and cutting-edge research papers categorized by specific themes such as Sparse Attention, Linear Attention, Hierarchical Attention, Recurrent Transformers, State Space Models, and more. It also includes links to blogs and external scholarly surveys, notably collaborating with the LCLM-Horizon group to provide a comprehensive survey on Long Context Language Modeling. This collection is continuously updated with weekly and monthly papers, reflecting the latest research trends and breakthroughs in the field. It also encourages community contributions and collaboration to advance the understanding and development of long context capabilities in LLMs. The repository is valuable for anyone looking to deepen their knowledge of how large language models can be optimized and extended to handle longer sequences effectively, which is critical for applications requiring extensive context understanding such as document summarization, long-form content generation, and complex reasoning tasks. Overall, this repository acts as a scholarly hub for the long context modeling community, providing curated, up-to-date, and categorized resources that facilitate research and innovation in this rapidly evolving area of artificial intelligence.
https://github.com/Xnhyacinth/Awesome-LLM-Long-Context-Modeling
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