SurveyX

IAAR-Shanghai/SurveyX is ranked 12,166 among these 8 peers; piglei/ai-vocabulary-builder is ranked 12,164.

SurveyX: Academic Survey Automation via Large Language Models ✨Welcome to SurveyX! If you want to experience the full features, please log in to our website. This open-source code only provides offline processing capabilities. **SurveyX** is an advanced academic survey automation system that leverages the power of Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. By simply providing a paper title and keywords for literature retrieval, users can request comprehensive academic papers or surveys

tailored to specific topics. Offline Open Source Version The open-source code in this repository only provides offline processing capabilities. If you want to experience the full features, please log in to our website. **Missing features in the open-source version:** 1. **Real-time online search:** You can only generate surveys based on your own uploaded format references. The open-source version lacks access to our paper database, web crawler system, keyword expansion algorithms, and dual-layer semantic filtering for

literature acquisition. **Multimodal document parsing:** The generated survey will not include image understanding or illustrations from the references. 10+ (Anaconda recommended) All Python dependencies in LaTeX environment (for PDF compilation): You need to convert all your reference documents to Markdown ( ) format and put them together in a single folder before running the pipeline. LLM Configuration Edit to provide your LLM API URL, token, and model information before running the pipeline. Workflow Each run creates a unique result folder under , named

by the task id (e. Run the full pipeline: Or run step by step: **Note:** Your local reference documents **must be in Markdown ( ) format** and placed in a single directory. 0, 6LoWPAN, TDMA scheduling, RPL routing, device density management | | Edge Caching in Content Delivery Networks: Algorithms and Economic Incentives | CDN, Akamai, cache replacement policies, DASH (Dynamic Adaptive Streaming), QoE optimization, edge server placement, bandwidth cost reduction | | A survey on flow batteries | battery electrolyte formulation | | Research on battery electrolyte formulation | flow

batteries | 📃Citing SurveyX Please cite us if you find this project helpful for your project/paper: Open Source Version Notice This open source version of Surveyx is a simplified edition. It relies entirely on user-provided local reference documents and does not include advanced features such as: Keyword expansion and filtering algorithms Multimodal image parsing or figure extraction Online reference search or automatic data fetching These advanced modules are only available in the full version of Surveyx, which is hosted

by MemTensor (Shanghai) Technology Co. If you would like to experience the complete features, please visit our official website: surveyx. cn For questions or issues, please open an issue on the repository. ⚠️ Disclaimer SurveyX uses advanced language models to assist with the generation of academic papers. However, it is important to note that the generated content is a tool for research assistance. Users should verify the accuracy of the generated papers, as SurveyX cannot guarantee full compliance with academic standards

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