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README.md
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<div align="center">
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<h1>SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing</h1>
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[[ Paper 📓 ]](https://arxiv.org/abs/2503.04629) [[ SurveyBench Benchmark 🤗 ]](https://huggingface.co/datasets/U4R/SurveyBench)
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<i>
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🤩 Tired of chaotic structures and inaccurate references in AI-generated survey paper? <b>SurveyForge</b> is here to revolutionize your research experience!
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</div>
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We offer **SurveyBench**, a benchmark for **academic research** and **evaluating the quality of AI-generated surveys.**
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Currently , SurveyBench consists of approximately 100 human-written survey papers across 10 distinct topics, carefully curated by doctoral-level researchers to ensure thematic consistency and academic rigor. The supported topics and the core references corresponding to each topic are as follows:
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Currently , SurveyBench consists of approximately 100 human-written survey papers across 10 distinct topics, carefully curated by doctoral-level researchers to ensure thematic consistency and academic rigor. The supported topics and the core references corresponding to each topic are as follows:
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| Topics | # Reference |
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| -------------------------------------------------------- | :---------: |
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| Multimodal Large Language Models | 912 |
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| Evaluation of Large Language Models | 714 |
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| 3D Object Detection in Autonomous Driving | 441 |
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| Vision Transformers | 563 |
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| Hallucination in Large Language Models | 500 |
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| Generative Diffusion Models | 994 |
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| 3D Gaussian Splatting | 330 |
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| LLM-based Multi-Agent | 823 |
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| Graph Neural Networks | 670 |
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| Retrieval-Augmented Generation for Large Language Models | 608 |
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More support topics coming soon!
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### 🧑💻You can evaluate the survey from [github](https://github.com/Alpha-Innovator/SurveyForge)
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