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 NLP 2026-05-20

BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting

首个针对量化回测的LLM基准测试，被KDD 2026录用，评估自动策略生成能力。

arXiv:2605.17937v1 Announce Type: new Abstract: Quantitative backtesting is essential for evaluating trading strategies but remains hampered by high t…

backtestbe 大语言模型量化回测基准测试 kdd 2026

📝 深度技术 arXiv 机器学习 2026-05-20

Could Large Language Models work as Post-hoc Explainability Tools in Credit Risk Models?

探讨大语言模型能否作为信用风险模型的事后可解释工具，前沿研究视角值得关注。

arXiv:2602.18895v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have shown promise in translating model-based explanations into…

大语言模型信用风险可解释性事后解释金融ai

📅 日期

2026-05-20 2026-05-19

🐂 牛哥精选

BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting

Could Large Language Models work as Post-hoc Explainability Tools in Credit Risk Models?

📅 日期