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已排除「判重归并」与已软删除的记录;状态过滤可选(candidate/analyzed/selected)

WHO statement on notification of withdrawal of the United States

🟡 值得了解 🌍 国际 政府/政策 AI 离线降级摘要

As a founding member of the World Health Organization (WHO), the United States of America has contributed significantly…

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WHO 新闻(RSS) 2026-01-25 04:09 综合价值 3.5 / 5
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WHO Director-General visits Jordan to recognize strong collaboration on health system delivery, emergency relief and advancing mental health

🟡 值得了解 🌍 国际 商业/企业动态 AI 离线降级摘要

The Director-General of the World Health Organization, Dr Tedros Adhanom Ghebreyesus, today concluded the first day of h…

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WHO 新闻(RSS) 2026-02-26 02:06 综合价值 3.3 / 5
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A Structured State Space Sequence Model for Multi-Class Classification of Malware

🟡 值得了解 ❔ 待判断 技术进展 AI 离线降级摘要

By 2030, Internet of Things (IoT) devices are projected to reach 40 billion, with fast-paced technological advancements…

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arXiv 人工智能预印本(Atom) 2026-10-01 23:42 综合价值 3.7 / 5
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Asynchronous LLM Post-Training: Group-Mass Capping and Convergence Analysis

🟡 值得了解 🌍 国际 政府/政策 AI 离线降级摘要

Asynchronous reinforcement learning (RL) improves the efficiency of large language model post-training but introduces st…

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arXiv 人工智能预印本(Atom) 2026-10-01 23:45 综合价值 3.7 / 5
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MoLE: Mixture of Latent Experts for Complementary Visual Reasoning

🟡 值得了解 ❔ 待判断 技术进展 AI 离线降级摘要

Latent visual reasoning equips vision--language models with continuous intermediate states that can process visual evide…

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arXiv 人工智能预印本(Atom) 2026-10-01 23:54 综合价值 3.6 / 5
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Cross-Lingual Alignment for Decoder-Only Models using MoE Routers

🟡 值得了解 ❔ 待判断 技术进展 AI 离线降级摘要

Cross-lingual contrastive learning has been a core component of multilingual encoder training, but the ability to explic…

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arXiv 人工智能预印本(Atom) 2026-10-01 23:56 综合价值 3.6 / 5
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A rubric landscape for evaluating clinical reasoning in large language models: what exists, what is missing, and what needs to be combined

🟡 值得了解 🌍 国际 技术进展 AI教育 离线降级摘要

Exam-style accuracy does not establish whether large language models (LLMs) reason well over clinical records.We define…

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arXiv 人工智能预印本(Atom) 2026-10-02 00:07 综合价值 3.6 / 5
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A Hybrid Approach to Malware Detection: Integrating Few-Shot Model-Agnostic Meta-Learning with Autoencoders

🟡 值得了解 🌍 国际 技术进展 AI 离线降级摘要

Ransomware has emerged as a major cybersecurity threat, with incidents increasing in frequency and impact across critica…

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arXiv 人工智能预印本(Atom) 2026-10-02 00:11 综合价值 3.7 / 5
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Can AI Oversight Be Zero Knowledge?

🟡 值得了解 🌍 国际 技术进展 AI 离线降级摘要

AI systems increasingly produce outputs from confidential data, such as a fitness-for-duty assessment from medical recor…

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arXiv 人工智能预印本(Atom) 2026-10-02 00:30 综合价值 3.5 / 5
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Mem++: Non-Destructive Memory for Long-Term Organizational LLM Agents

🟡 值得了解 🌍 国际 技术进展 AI 离线降级摘要

Large Language Model (LLM) agents now take part in organizational work, where many authors record decisions across docum…

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arXiv 人工智能预印本(Atom) 2026-10-02 00:32 综合价值 3.6 / 5
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Counting Moves, Weighing Voices: Bayesian Dialectical Argumentation for Calibrated Multi-LLM Councils under Persistent Adversaries

🟡 值得了解 🌍 国际 技术进展 AI 离线降级摘要

A multi-LLM \emph{council} lets several large language models (LLMs) deliberate on a question and return an answer toget…

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arXiv 人工智能预印本(Atom) 2026-10-02 00:34 综合价值 3.5 / 5
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Atoms to Processes: The Role of Artificial Intelligence and Machine Learning in Chemical Engineering

🟡 值得了解 ❔ 待判断 技术进展 AI 离线降级摘要

The rapid maturation of artificial intelligence (AI) and machine learning (ML) has catalyzed a profound shift in how che…

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arXiv 人工智能预印本(Atom) 2026-10-02 00:39 综合价值 3.6 / 5
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On Language Drift during RLVR Post-Training

🟡 值得了解 🌍 国际 技术进展 AI 离线降级摘要

Recent advances in LLM reasoning models---driven primarily by the paradigm of post-training via reinforcement learning w…

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arXiv 人工智能预印本(Atom) 2026-10-02 00:39 综合价值 3.6 / 5
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Task-Adaptive Grounded 3D-Programmers Using 2D VLMs

🟡 值得了解 🌍 国际 技术进展 AI 离线降级摘要

Recent vision-language models (VLMs) exhibit remarkable generalization and reasoning abilities, yet 3D understanding in…

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arXiv 人工智能预印本(Atom) 2026-10-02 00:43 综合价值 3.6 / 5
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SPHERE: Adaptive VR Indoor Scene Generation via LLM-Enhanced Spatial Preference Learning and Human-in-the-Loop RL

🟡 值得了解 ❔ 待判断 技术进展 AI 离线降级摘要

While Large Language Models (LLMs) advance 3D indoor scene synthesis, current pipelines fail to retain user-specific pre…

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arXiv 人工智能预印本(Atom) 2026-10-02 00:43 综合价值 3.6 / 5
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Global Coherence: When Every Agent Is Right and the Team Is Still Wrong - A Local-to-Global Semantic Foundation for Multi-Agent Collaboration

🟡 值得了解 🌍 国际 政府/政策 AI历史 离线降级摘要

AI agents can each make locally valid decisions yet jointly produce an invalid result.We call this the global coherence…

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arXiv 人工智能预印本(Atom) 2026-10-02 00:49 综合价值 3.7 / 5
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