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AgentOne Desktop
告别重复劳动！免费可扩展的桌面AI智能体，一键自动化你的枯燥工作流程
Automate boring work. Extensible and free desktop AI agent. Discussion | Link
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Why Enterprise AI Gets Hard After the First Agent
DolphinX 让企业AI从单一代办扩展到多代理协作，解决第一个Agent后的复杂管理难题，支持实时数据与智能编排，是构建可扩展AI应用的利器。
Article URL: https://medium.com/@DolphinDB_Inc/enterprise-ai-needs-more-than-chatbots-meet-dolphinx-6704da50a733 Comments URL: https://news.ycombinato…
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Scalable Drift Monitoring in Medical Imaging AI
医学影像AI落地最怕模型悄悄“变笨”，MMC+框架用可扩展监控提前捕捉漂移，保障长期可靠性。
arXiv:2410.13174v3 Announce Type: replace-cross Abstract: The integration of artificial intelligence (AI) into medical imaging has advanced clinical d…
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Titan Transients and LLM Scalability
探索Titan瞬态现象与LLM可扩展性的交叉前沿，揭开大规模系统性能瓶颈的核心见解。
Article URL: https://queue.acm.org/detail.cfm?id=3819082 Comments URL: https://news.ycombinator.com/item?id=49095428 Points: 2 # Comments: 0
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Scaling Closed-Loop Feature Channel Configuration with LLMs
用LLM自动配置特征通道，实现闭环系统高效扩展，典型大模型系统级应用。
arXiv:2607.20516v1 Announce Type: cross Abstract: Promising initial results in closed-loop large-language-model-based channel-configuration search dem…
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EvoGuard: An Extensible Agentic RL-based Framework for Practical and Evolving AI-Generated Image Detection
一种基于智能体强化学习的可扩展框架，让AI生成图像检测能随新攻击方式持续进化。
arXiv:2603.17343v2 Announce Type: replace Abstract: The rapid proliferation of AI-Generated Images (AIGIs) poses severe misinformation risks, making A…
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DiPhon: Diffusion on Graphons for Scalable Graph Generation
把大图生成难题“揉碎”再扩散，用图极限实现高效可扩展的图生成新方法，专治算力焦虑。
arXiv:2607.07232v1 Announce Type: cross Abstract: Diffusion models represent a leading paradigm for graph generation, with notable impact in domains s…
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BoRP: Bootstrapped Regression Probing for Scalable and Human-Aligned LLM Evaluation
用回归探测评估大模型，兼顾规模与人类偏好，为评测提供新思路。
arXiv:2601.18253v2 Announce Type: replace-cross Abstract: Accurate evaluation of user satisfaction is critical for iterative development of conversati…
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Scalable and Distributed Silhouette Approximation
分布式架构下高效近似轮廓系数的新方法，适合大规模聚类评估场景。
arXiv:2607.01993v1 Announce Type: cross Abstract: The silhouette is one of the most widely used measures to assess the quality of a $k$-clustering of …
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Scaling Up Thermodynamic AI Models
基于伊辛模型的热力学计算设备，为低功耗 AI 推理和边缘计算带来可扩展新路径。
arXiv:2607.00170v1 Announce Type: cross Abstract: Thermodynamic computing devices based on the Ising model show great promise for low-power AI inferen…
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InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training
自动化生成可定制Web环境，为GUI Agent训练提供无限规模、高保真交互场景。
arXiv:2601.04126v3 Announce Type: replace-cross Abstract: GUI agents that interact with graphical interfaces on behalf of users represent a promising …
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LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent
可扩展的强化学习训练框架LiteResearcher问世，专为深度研究智能体打造，效率与性能双提升。
arXiv:2604.17931v3 Announce Type: replace Abstract: Reinforcement Learning (RL) has emerged as a powerful training paradigm for LLM-based agents. Howe…
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Synthetic Interaction Data for Scalable Personalization in Large Language Models
用合成交互数据破解LLM个性化扩展难题，数据瓶颈的新解法。
arXiv:2602.12394v2 Announce Type: replace Abstract: Personalized prompting offers large opportunities for deploying large language models (LLMs) to di…
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DataStates-LLM: Scalable Checkpointing for Transformer Models Using Composable State Providers
万亿参数模型训练中，检查点瓶颈如何破？这项研究提出可组合状态提供者的可扩展方案，直击分布式训练痛点。
arXiv:2601.16956v1 Announce Type: cross Abstract: The rapid growth of Large Transformer-based models, specifically Large Language Models (LLMs), now s…
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Do Modern Video-LLMs Need to Listen? A Benchmark Audit and Scalable Remedy
视频大语言模型是否真的需要音频？这篇被Interspeech 2026接收的研究给出了基准审计与可扩展修复方案。
arXiv:2509.17901v4 Announce Type: replace Abstract: Speech and audio encoders developed over years of community effort are routinely excluded from vid…
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BLADE: Scalable Bi-level Adaptive Data Selection for LLM Training
双层次自适应数据选择方法，大幅提升大模型训练效率与数据质量
arXiv:2606.18650v1 Announce Type: new Abstract: As Large Language Model (LLM) datasets scale to trillions of tokens, data selection has emerged as a c…
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Conformalized Quantum DeepONet Ensembles for Scalable Operator Learning with Distribution-Free Uncertainty
量子计算与深度学习交叉前沿：共形预测赋予量子算子网络可靠的不确定性估计，实现可扩展的无分布可信学习。
arXiv:2605.00330v2 Announce Type: replace Abstract: Operator learning enables fast surrogate modeling of high-dimensional dynamical systems, but exist…
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ReproRepo: Scaling Reproducibility Audits with GitHub Repository Issues
用GitHub Issues实现大规模可重复性审计，让科研结果更可信的新框架。
arXiv:2606.18237v1 Announce Type: cross Abstract: Reproducing research results from papers and released code is central to scientific progress. Existi…
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Do You Really Need a GPU to Guard Your LLM? CPU-Class Classifiers and Multi-Stage Pipelines for Safety Enforcement at Scale
揭示CPU级分类器在多阶段安全管道中高效防护LLM，打破GPU依赖，量产安全新思路。
arXiv:2512.19011v3 Announce Type: replace-cross Abstract: Safety classifiers that screen LLM inputs for jailbreak attempts have become standard deploy…
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Edu-Theater: A Data-Efficient Agent Framework for Scalable Learner Behavior Simulation through Staging Roll-Call
让AI模拟学习者行为更省数据？这个教育代理框架通过点名机制实现高效仿真，教育科技研究的新利器。
arXiv:2606.15225v1 Announce Type: cross Abstract: Large-scale learner-task interaction data are crucial for intelligent educational systems but are co…