Causal Inference: The Mixtape
《几乎解决所有因果推断问题》 Scott Cunningham（贝勒大学经济学教授） 247页
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Causal Inference: A Statistical Learning Approach
书名：Causal Inference: A Statistical Learning Approach 作者：Victor Chernozhukov, Whitney K. Newey, Rahul...
RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation
RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation RAG-MCP: M...
Multimodal information structuring with single-layer soft skins and high-density electrical impedance tomography
https://www.science.org/doi/10.1126/scirobotics.adq2303 Abstract The human skin can reliably captu...
Trends – Artificial Intelligence
《AI趋势》互联网女王的AI报告（340页） May 30, 2025 Mary Meeker / Jay Simons / Daegwon Chae / Alexander Krey 上集，个体与组...
ORCA: An Open-Source, Reliable, Cost-Effective, Anthropomorphic Robotic Hand for Uninterrupted Dexterous Task Learning
ORCA：一款开源、可靠、成本高效、拟人化的机械手，可实现不间断灵巧任务学习 ORCA_An_Open-Source_Reliable_Cost-Effective_Anthropomorphic_R...
LLMs Get Lost in Multi-Turn Conversations
由 微软（Microsoft）研究团队于 2024 年发表的一篇重要工作，揭示了大语言模型（LLMs）在长对话中容易“迷失”上下文、遗忘早期信息或产生不一致回答的问题。 ✅ 论文官方信息： 标题：Do...
Attention Is All You Need
作者：Ashish Vaswani, Noam Shazeer, Niki Parmar, et al. （Google Brain & DeepMind） 会议：NeurIPS 2017 意...
Sequence to Sequence Learning with Neural Networks
作者：Ilya Sutskever, Oriol Vinyals, Quoc V. Le 会议：NeurIPS 2014 意义：提出 Seq2Seq 架构，奠定机器翻译、对话系统基础 🔗 http...