paper_analyze/category_stats.json at main · WisdomJoy/paper_analyze · GitHub

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{
  "total": 2387,
  "categories": {
    "代码生成与程序合成": {
      "count": 50,
      "percentage": 2.09
    },
    "具身智能与机器人": {
      "count": 67,
      "percentage": 2.81
    },
    "多智能体系统": {
      "count": 105,
      "percentage": 4.4
    },
    "智能体与工具使用": {
      "count": 234,
      "percentage": 9.8
    },
    "多模态LLM": {
      "count": 325,
      "percentage": 13.62
    },
    "推理与数学": {
      "count": 102,
      "percentage": 4.27
    },
    "检索增强与知识": {
      "count": 78,
      "percentage": 3.27
    },
    "LLM对齐与安全": {
      "count": 292,
      "percentage": 12.23
    },
    "LLM推理与效率": {
      "count": 207,
      "percentage": 8.67
    },
    "LLM训练与优化": {
      "count": 213,
      "percentage": 8.92
    },
    "强化学习": {
      "count": 220,
      "percentage": 9.22
    },
    "可解释性与分析": {
      "count": 139,
      "percentage": 5.82
    },
    "评测与基准": {
      "count": 216,
      "percentage": 9.05
    },
    "NLP应用": {
      "count": 56,
      "percentage": 2.35
    },
    "其他": {
      "count": 83,
      "percentage": 3.48
    }
  }
}