AI资讯日报 - 2026/5/20

👨‍🔬 Emaad Khwaja, Chris Lettieri, Gerald Woo, Eden Belouadah, Marc Cenac, Guillaume Jarry, Enguerrand Paquin, Xunyi Zhao, Viktoriya Zhukov, Othmane Abou-Amal, Chenghao Liu, Ameet Talwalkar, David Asker

A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents

学术论文 ArXiv 重要度: 8

提出生产级LLM代理的运行时架构模式选择方法，关注随机-确定边界。

👨‍🔬 Vasundra Srinivasan

Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR

学术论文 ArXiv 重要度: 8

提出POW3R框架，自适应调整标准权重以提升RLVR训练效率。

👨‍🔬 Utkarsh Tyagi, Xingang Guo, MohammadHossein Rezaei, Daniel George, Anas Mahmoud, Jackson Lee, Bing Liu, Yunzhong He

Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models

学术论文 ArXiv 重要度: 7

提出因果评估框架和MedFocus方法，提升医学LVLM的视觉归因可信度。

👨‍🔬 Guangzhi Xiong, Qiao Jin, Sanchit Sinha, Zhiyong Lu, Aidong Zhang

Atoms of Thought: Universal EEG Representation Learning with Microstates

学术论文 ArXiv 重要度: 7

利用脑电微状态进行通用表示学习，优于传统时频特征。

👨‍🔬 Xinyang Tian, Ruitao Liu, Ziyi Ye, Siyang Xue, Xin Wang, Xuesong Chen

Beyond Prediction Accuracy: Target-Space Recovery Profiles for Evaluating Model-Brain Alignment

学术论文 ArXiv 重要度: 7

提出评估模型-脑对齐的框架，揭示预测精度之外的维度恢复情况。

👨‍🔬 Ken Nakamura, Tomoya Nakai, Ryuto Yashiro, Ayumu Yamashita, Kaoru Amano

Beyond Isotropy in JEPAs: Hamiltonian Geometry and Symplectic Prediction

学术论文 ArXiv 重要度: 6

提出HamJEPA，利用哈密顿几何改进联合嵌入预测架构。

👨‍🔬 Robert Jenkinson Alvarez

Less Back-and-Forth: A Comparative Study of Structured Prompting

学术论文 ArXiv 重要度: 6

结构化提示设计（如检查表）能提升LLM响应质量并减少交互。

👨‍🔬 Saurav Ghosh, Gabriella Polach, Abdou Sow

Long-term Power Grid Planning via Answer Set Programming

学术论文 ArXiv 重要度: 5

首次使用回答集编程自动化长期电网规划。

👨‍🔬 Antonio Ielo, Francesco Doria, Sandra Castellanos-Paez, Marco Maratea, Francesco Percassi, Mauro Vallati

HaorFloodAlert: Deseasonalized ML Ensemble for 72-Hour Flood Prediction in Bangladesh Haor Wetlands

学术论文 ArXiv 重要度: 5

构建去季节化机器学习集成模型，预测孟加拉国湿地洪水。

👨‍🔬 Salma Hoque Talukdar Koli, Fahima Haque Talukder Jely, Md. Samiul Alim, Md. Zakir Hossen

Using Aristotle API for AI-Assisted Theorem Proving in Lean 4: A Formalisation Case Study of the Grasshopper Problem

学术论文 ArXiv 重要度: 5

AI辅助定理证明案例，展示局部证明成功而全局组合未解决的局限。

👨‍🔬 Gabriel Rongyang Lau

k-Inductive Neural Barrier Certificates for Unknown Nonlinear Dynamics

学术论文 ArXiv 重要度: 4

利用神经网络和数据驱动方法构建k-归纳屏障证书，验证未知非线性系统安全。

👨‍🔬 Ben Wooding, Hongchao Zhang, Taylor T. Johnson, Abolfazl Lavaei

🤖 AI资讯日报

📊 今日趋势总结

Ask HN: Is the rate of progress in AI exponential?

Why Boring Businesses Outlast AI Hype Cycles

MIT Non-AI License

Ask HN: What's the pain using current AI algorithms?

Ask HN: Anyone concerned about NYC Local Law 144?

Ask HN: What would you read to learn about 'artificial intelligence'?

NLP, AI, ML, bots – a passing trend or much more? What's your take on this?

The AI Crackpot Index

The Next Bill Gates or Albert Einstein in AI “Chris Clark” – Yourobot

Show HN: Startup Raising capital through Book Sales

Common Lisp + Machine Learning Internship at Google (Mountain View, CA)

Bioinformatician

Toto 2.0: Time Series Forecasting Enters the Scaling Era

A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents

Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR

Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models

Atoms of Thought: Universal EEG Representation Learning with Microstates

Beyond Prediction Accuracy: Target-Space Recovery Profiles for Evaluating Model-Brain Alignment

Beyond Isotropy in JEPAs: Hamiltonian Geometry and Symplectic Prediction

Less Back-and-Forth: A Comparative Study of Structured Prompting

Long-term Power Grid Planning via Answer Set Programming

HaorFloodAlert: Deseasonalized ML Ensemble for 72-Hour Flood Prediction in Bangladesh Haor Wetlands

Using Aristotle API for AI-Assisted Theorem Proving in Lean 4: A Formalisation Case Study of the Grasshopper Problem

k-Inductive Neural Barrier Certificates for Unknown Nonlinear Dynamics

📅 历史日报目录