The official GitHub page for survey papers on large language models
LLMSurvey is a comprehensive survey on large language models, providing an in-depth analysis of these models' architectures, training methods, application scenarios, and future research directions. The project aims to serve as a systematic reference for researchers and developers.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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"datePublished": "2025-12-05T16:14:37.160468+00:00",
"dateModified": "2025-12-19T05:06:15.628544+00:00",
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"text": "Comprehensive literature review, Detailed model architecture analysis, Rich application scenario cases"
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"name": "What are the use cases for LLMSurvey?",
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"text": "Academic Research, Model Development, Technical Paper Writing"
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"name": "What are the advantages of LLMSurvey?",
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"text": "权威的资料来源, 持续更新, 社区支持"
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},
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"name": "What are the limitations of LLMSurvey?",
"acceptedAnswer": {
"@type": "Answer",
"text": "可能需要专业背景才能理解, 更新频率依赖于贡献者"
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