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SurveyForge

RAG、知识与记忆可观测性与评测

观察池 · 暂无正式排名

该项目当前未满足“两个有效维度 + 两种数据源”的主榜门槛。

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可观测采用度缺失

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动量当前有效 · 2026-09-12

关注度当前有效 · 2026-09-12

信号可信度 依据当前有数据的独立评分维度数量计算。

中2/3 · 1 种数据源

方法论 v2.0 · 快照 2026-09-12 · 超过 2 天视为过期

项目介绍

(ACL-2025) SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing

[[ Paper 📓 ]]( [[ SurveyBench Benchmark 🤗 ]]( [[SurveyForge Database 🤗]](

🤩 Tired of chaotic structures and inaccurate references in AI-generated survey paper? SurveyForge is here to revolutionize your research experience!

Survey papers are vital in scientific research, especially with the rapid increase in research publications. Recently, researchers have started using LLMs to automate survey creation for improved efficiency. However, LLM-generated surveys often fall short compared to human-written ones, particularly in outline quality and…

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GitHub InternScience/SurveyForge 指标与趋势 →

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