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 AI 2026-06-03

Whose Name Comes Up? II: Benchmarking and Intervention-Based Auditing of LLM-Based Scholar Recommendation

通过基准测试和干预审计，揭秘大模型在学者推荐中的公平性隐患

arXiv:2602.08873v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are now used for academic expert recommendation. Existing audit…

llm 学者推荐基准测试审计公平性

🤖 AI·大模型 arXiv AI 2026-05-28

Whose Name Comes Up? III: Persona Prompting Effects in LLM-Based Scholar Recommendation

探究人格化提示对LLM学者推荐的影响，揭示AI推荐中的偏见与优化方向。

arXiv:2605.28187v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as scholar recommenders, shaping who is seen as a…

llm 学者推荐人设提示大语言模型学术推荐系统

📅 日期

2026-05-20 2026-05-19

🐂 牛哥精选

Whose Name Comes Up? II: Benchmarking and Intervention-Based Auditing of LLM-Based Scholar Recommendation

Whose Name Comes Up? III: Persona Prompting Effects in LLM-Based Scholar Recommendation

📅 日期