A curated repository offering a comprehensive, categorized collection of over 200 survey papers on Large Language Models (LLMs). It serves as a valuable resource for researchers, engineers, and practitioners seeking to quickly navigate and understand the rapidly evolving LLM landscape, providing a structured overview of key topics and advancements.

How It Works

This repository functions as a meticulously organized index of LLM-related survey literature. Papers are systematically categorized into over two dozen distinct areas, including foundational concepts, specific techniques like prompting and fine-tuning, advanced topics such as RAG and agents, and domain-specific applications. This structured approach facilitates efficient discovery and access to relevant research, enabling users to grasp the breadth and depth of LLM research without sifting through disparate sources.

Quick Start & Requirements

This repository is a curated list of academic papers and does not involve software installation or execution. Accessing the papers requires navigating the provided category links, which are intended to lead to the respective survey articles. No specific hardware, software, or API keys are required beyond standard internet access and a web browser.

Highlighted Details

• Extensive Coverage: Features over 200 survey papers, spanning a wide array of LLM topics.
• Granular Categorization: Organizes papers into more than 25 specific categories, including General LLMs, Prompting Techniques, Multimodal LLMs, LLM Agents, RAG, LLM Architectures, LLM Evaluation, LLM Safety, and LLMs for Specific Domains (e.g., Finance, Healthcare, Coding).
• Related Resources: Links to complementary repositories such as the "LLM Engineer Toolkit" and "RAG Zero to Hero Guide" are provided for further exploration.

Maintenance & Community

The provided README does not contain explicit information regarding project maintainers, community channels (like Discord or Slack), contribution guidelines, or a public roadmap. The repository appears to be a static collection, with no clear indicators of ongoing maintenance or active community engagement.

Licensing & Compatibility

No specific software license is mentioned in the README. As this repository primarily links to external academic papers, users should refer to the licensing terms of the individual survey papers and their respective publication venues. Compatibility for commercial use or closed-source linking would depend on the licenses of the linked papers.

Limitations & Caveats

The repository provides links to survey papers, but the actual paper content is not hosted or directly accessible within the repository itself. The collection's recency is dependent on the last update of the README, and it may not include the very latest survey publications. There are no explicit installation instructions or software dependencies, as it is a reference list. The absence of community support or clear maintenance signals means users rely solely on the existing curated list.