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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)

Learning from Revision Consequences: Hindsight Meta-Experience Distillation for Self-Improving Agents

🟡 值得了解 🌍 国际 政府/政策 AI 离线降级摘要

As agents continuously improve by generating and revising Skills, the process that discovers and refines those Skills be…

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arXiv 人工智能预印本(Atom) 2026-10-06 16:43 综合价值 3.9 / 5
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Decide Before You Look: Learning Which Retrieved Memories Deserve Pixels

🟡 值得了解 ❔ 待判断 技术进展 AI 离线降级摘要

Multimodal assistants answer questions from long-term memories that contain images.After retrieval, each retrieved image…

为什么值得关注:属于技术进展,可能扩散到其他领域

arXiv 人工智能预印本(Atom) 2026-10-06 16:47 综合价值 3.8 / 5
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VisionWeave: Weaving Elastic Visual Representations as a Native Capability of MLLMs

🟡 值得了解 🌍 国际 政府/政策 AI 离线降级摘要

Multimodal large language models have become the dominant paradigm for visual understanding, but incur substantial costs…

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arXiv 人工智能预印本(Atom) 2026-10-06 16:48 综合价值 3.9 / 5
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TICDA: Tabular In-Context Data Attribution

🟡 值得了解 ❔ 待判断 商业/企业动态 AI 离线降级摘要

Tabular foundation models (TFMs) achieve strong predictive performance by conditioning on labeled demonstrations provide…

为什么值得关注:属于企业动态,反映产业投入方向

arXiv 人工智能预印本(Atom) 2026-10-06 16:55 综合价值 3.8 / 5
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Learning in Dreams, Winning in Reality: A Continuous Dyna Loop for a Ten-Hero MOBA

🟡 值得了解 ❔ 待判断 政府/政策 AI 离线降级摘要

World models are usually judged from the inside: by prediction loss, by the return a policy earns in imagination, or by…

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arXiv 人工智能预印本(Atom) 2026-10-06 17:26 综合价值 3.9 / 5
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Same Feedback, Different Answer: Measuring Run-to-Run Instability in Frontier-Model Customer Feedback Analysis

🟡 值得了解 ❔ 待判断 技术进展 AI 离线降级摘要

AI agents are increasingly being programmed to automate knowledge work over large collections of unstructured data.Such…

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arXiv 人工智能预印本(Atom) 2026-10-06 17:29 综合价值 3.8 / 5
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DAEDALUS: Bootstrapping Agent Memory from Self-Generated Tasks

🟡 值得了解 ❔ 待判断 技术进展 AI 离线降级摘要

LLM agents often lack the operational knowledge to act reliably in new environments, as they must discover specific tool…

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arXiv 人工智能预印本(Atom) 2026-10-06 17:46 综合价值 3.9 / 5
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SpeedrunBench: Challenging LLM Agents with Video Game Speedrunning

🟡 值得了解 ❔ 待判断 科研论文 AI 离线降级摘要

Frontier LLM agents have been shown to be capable of solving increasingly complex tasks for which humans have measurable…

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arXiv 人工智能预印本(Atom) 2026-10-06 18:06 综合价值 3.9 / 5
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Self-Retrospection Distillation: Turning Post-hoc Experiences into Prior Foresight

🟡 值得了解 ❔ 待判断 技术进展 AI 离线降级摘要

Reinforcement learning with verifiable rewards (RLVR) turns agent experience into learning signals primarily through sca…

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arXiv 人工智能预印本(Atom) 2026-10-06 18:06 综合价值 3.8 / 5
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POLAR: Ontology-Guided Risk Prevention for Tool-Calling LLM Agents

🟡 值得了解 🌍 国际 技术进展 AI 离线降级摘要

LLM tool-use agents operate in dynamic environments where many actions carry operational risk.However, most safety mecha…

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arXiv 人工智能预印本(Atom) 2026-10-06 18:14 综合价值 3.8 / 5
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When Plans Change Answers: Formalizing Cost-Accuracy Optimization for Semantic Queries

🟡 值得了解 ❔ 待判断 政府/政策 AI 离线降级摘要

In semantic query engines, predicates are evaluated by machine-learned models, and the choice of a query plan affects no…

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arXiv 人工智能预印本(Atom) 2026-10-06 18:19 综合价值 4.0 / 5
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SAGE: Semantic Anchor-Guided Evolution for Grounded Medical QA Data Synthesis

🟡 值得了解 🌍 国际 技术进展 AI 离线降级摘要

Developing reliable models for clinical tasks, such as Medical Question Answering (QA), is severely constrained by the l…

为什么值得关注:属于技术进展,可能扩散到其他领域

arXiv 人工智能预印本(Atom) 2026-10-06 18:23 综合价值 3.8 / 5
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