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AI+医疗机器人教育金融能源健康娱乐思考
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研究The UK’s generational tobacco ban might not work. I’m supporting it anyway.(technologyreview.com)
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研究Agent4cs: A Multi-agent System for Code Summarization in Large Hierarchical Codebases(arxiv.org)
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研究CreativityNeuro: Steering Language Model Weights to Improve Divergent Thinking and Reduce Mode Collapse(arxiv.org)
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研究Auto-FL-Research: Agentic Search for Federated Learning Algorithms(arxiv.org)
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研究When Should Service Agents Reconsider? Difficulty-Routed Control in Customer-Service Operations(arxiv.org)
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研究World Feedback for Clinical Agents: Diagnosing RL in FHIR Environments(arxiv.org)
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研究A major online safety bill for kids just passed the House. Here’s what experts say parents need to know(cset.georgetown.edu)
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研究Achieving operational excellence with AI(technologyreview.com)
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研究Teaching AI to run with the turbines(technologyreview.com)
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研究RareDxR1: Autonomous Medical Reasoning for Rare Disease Diagnosis Beyond Human Annotation(arxiv.org)
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研究Managed Autonomy at Runtime: Gear-Based Safety and Governance for Single- and Multi-Agent Cyber-Physical Systems(arxiv.org)
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研究Solution space path planning for supporting en-route air traffic control(arxiv.org)
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研究The MMM Data Model -- A Normative Specification for Knowledge Interoperability in a Decentralisable Knowledge Commons(arxiv.org)
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研究Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity(arxiv.org)
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研究Bounded Morality: Defining the Space of Moral Computation(arxiv.org)
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研究A Contextual-Bandit Oversight Game with Two-Sided Informational Asymmetry(arxiv.org)
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研究You Can Now Sound the Alarm on AI Behaving Badly(cset.georgetown.edu)
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研究Persistent Latent Memory for Multi-Hop LLM Agents: How a 6G Handover Paper Closes the Agent Cold-Start(towardsdatascience.com)
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研究The Sequence AI of the Week #887: Meta's Autodata: When Models Learn to Make Their Own Lessons(thesequence.substack.com)
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finextra.com
研究AI not eliminating need for bankers - survey(finextra.com)
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arxiv.org
研究Agentic-Ideation: Sample Efficient Agentic Trajectories Synthesis for Scientific Ideation Agents(arxiv.org)
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arxiv.org
研究Improving Survey Participation in Low-Literacy Populations Through Value-Sensitive Conversational AI(arxiv.org)
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arxiv.org
研究Delta-JEPA: Learning Action-Sensitive World Models via Latent Difference Decoding(arxiv.org)
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arxiv.org
研究Why Solve It Twice? Hierarchical Accumulation of Skills for Transfer-Efficient ML Engineering(arxiv.org)
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arxiv.org
研究Neuro-Bayesian-Symbolic Residual Attention Shallow Network: Explainable Deep Learning for Cybersecurity Risk Assessment(arxiv.org)
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arxiv.org
研究ELEVATE: Designing Human-Centered GenAI Virtual Tutors for Scalable and Inclusive Education(arxiv.org)
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arxiv.org
研究Beyond expert users: agents should help users construct preferences, not just elicit them(arxiv.org)
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arxiv.org
研究AgRefactor: Self-Evolving Agentic Workflow for HLS Compatibility and Performance(arxiv.org)
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arxiv.org
研究GUIDE: Resolving Domain Bias in GUI Agents through Real-Time Web Video Retrieval and Plug-and-Play Annotation(arxiv.org)
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arxiv.org
研究Agentic AI Enhances Physician Trust in Clinical Decision Making(arxiv.org)
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