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...
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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...
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...
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
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...
Causal Inference: A Statistical Learning Approach
书名：Causal Inference: A Statistical Learning Approach 作者：Victor Chernozhukov, Whitney K. Newey, Rahul...
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...
Mastering the game of Go with deep neural networks and tree search
作者：David Silver, Aja Huang, Chris J. Maddison, et al. （DeepMind） 期刊：Nature, 2016 意义：AlphaGo 首次击败人类职业...