牛哥精选 · 三个月

📋 全部 🤖 AI·大模型 ⚡ 效率工具 📝 深度技术 🚀 产品观察 💰 商业科技 🔓 开源项目 🎨 设计创意 📖 阅读推荐 🏷 资源合集 🌱 成长效率

📝 深度技术 arXiv 机器学习 2026-05-20

Augmenting Human Evaluation with LLM Judges: How Many Human Reviews Do You Need?

探讨如何用LLM评估人效，量化所需人类评审数量，高效平衡AI系统评估的成本与质量。

arXiv:2605.16354v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as automated evaluators of AI systems, including in…

llm评估人工评估模型评估自动化评价成本效益

📝 深度技术 arXiv 计算机视觉 2026-05-20

Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detection

探索无监督学习实现低成本视觉异常检测，新方法兼顾效率与精度。

arXiv:2409.15980v2 Announce Type: replace Abstract: Traditional machine learning-based visual inspection systems require extensive data collection and…

无监督学习视觉异常检测成本效益计算机视觉论文

🤖 AI·大模型 arXiv AI 2026-05-19

CompactQE: Interpretable Translation Quality Estimation via Small Open-Weight LLMs

用小型开源LLM实现可解释的翻译质量评估，兼顾隐私与成本，性能媲美大模型。

arXiv:2605.15763v1 Announce Type: cross Abstract: Current state-of-the-art Quality Estimation (QE) in machine translation relies on massive, proprieta…

紧凑qe 翻译质量估计小型开源llm 可解释性隐私保护

📅 日期

2026-05-20 2026-05-19

🐂 牛哥精选

Augmenting Human Evaluation with LLM Judges: How Many Human Reviews Do You Need?

Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detection

CompactQE: Interpretable Translation Quality Estimation via Small Open-Weight LLMs

📅 日期