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LLMSurvey is an open-source research repository that aggregates academic papers, resources, and references related to large language models. The project is closely associated with the academic survey titled “A Survey of Large Language Models,” which provides a comprehensive overview of the development, architecture, capabilities, and societal implications of modern LLMs. The repository organizes hundreds of research papers into thematic sections that reflect the main areas of LLM research, including model architectures, training strategies, evaluation benchmarks, alignment techniques, and downstream applications. By structuring the literature in a navigable format, LLMSurvey allows researchers and practitioners to quickly explore important publications in the field without manually searching through multiple databases.
Features
- Comprehensive collection of research papers on large language models
- Organization of literature based on themes such as architecture and evaluation
- Companion resource for the academic survey “A Survey of Large Language Models”
- Curated references covering foundational and recent LLM research
- Continuously updated repository reflecting new developments in AI
- Structured index that enables efficient exploration of LLM topics
Project Samples
