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llm-benchmarks

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AI 大模型世界,把 556 个大模型拟人化成像素小人的可视化站点。进来就能看到此刻谁最聪明、谁最会写代码、谁最便宜、谁刚发布,往下是国内与国外分区的厂商广场、完整的发布时间线和多维排行榜。搜索认模型名、厂商和能力,输入「多模态」会直接列出全部多模态模型。数据取自 Epoch AI、models.dev、LiveBench 与 Hugging Face,每小时自动同步,所有文案由真实数据生成,不调用任何 LLM。Next.js 静态导出,零后端。

  • Updated Nov 12, 2026
  • TypeScript

This project aims to address this gap by conducting a systematic, controlled study of human versus LLM-generated text detectability using paired question–answer datasets. Rather than proposing a novel detection architecture, the focus is on analyzing detection robustness, failure modes, and the impact of adversarial humanization strategies.

  • Updated Mar 19, 2026
  • Jupyter Notebook

A living, evidence-based tracker of personalized LLM & agent research — benchmarks, methods, and surveys across preference alignment, long-term memory, multimodal, tool use, safety and privacy.

  • Updated Oct 6, 2026
  • Python

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