Jangoulun Singsit · 2026-05-11 · 5 min Apparel Trade

新工具包解决了英国中小企业在制造业中采用人工智能的问题

New toolkit addresses AI adoption in manufacturing for UK SMEs

Made Smarter 开发的新工具包旨在为制造业中小型企业 (SMEs) 提供在生产中采用人工智能的明确指导...

A new toolkit developed by Made Smarter aims to provide manufacturing small and medium enterprises (SMEs) with clear guidance on adopting AI in produc...

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Ruiqi Lyu, Alistair Turcan, Bryan Wilder · 2026-05-11 · 9 min AI

SpatialEpiBench: 预测中的空间信息和流行病先验基准

SpatialEpiBench: Benchmarking Spatial Information and Epidemic Priors in Forecasting

准确的流行病预测对于公共卫生应对,资源分配,和疫情干预,至关重要,但由于资源稀少,仍然很困难...

Accurate epidemic forecasting is crucial for public health response, resource allocation, and outbreak intervention, but remains difficult with sparse...

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Nafis Saami Azad, Raiyan Abdul Baten · 2026-05-11 · 3 min AI

人工智能引发的创意多样性崩溃的事前评估

Ex Ante Evaluation of AI-Induced Idea Diversity Collapse

创造性的人工智能系统通常在个人效用,的水平上进行评估,但创造性的产出却被群体所消耗:,一个想法就会失去价值......

Creative AI systems are typically evaluated at the level of individual utility, yet creative outputs are consumed in populations: an idea loses value ...

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Jangoulun Singsit · 2026-05-10 · 9 min Apparel Trade

BGMEA寻求与CNTAC的投资与合作

BGMEA seeks investment and collaboration with CNTAC

孟加拉国服装制造商和出口商协会(BGMEA)敦促中国投资者探索新的投资机会并讨论...

The Bangladesh Garment Manufacturers and Exporters Association (BGMEA) urged Chinese investors to explore new investment opportunities and discussed t...

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Zhengyi Guo, Jiayuan Sheng, David D. Yao, Wenpin Tang · 2026-05-10 · 6 min AI

通过伴随匹配:确定性控制管道来微调流量模型的改进技术

Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline

我们提出了一个确定性伴随匹配框架,该框架为基于流的生成模型制定人类偏好对齐作为最佳控制...

We propose a deterministic adjoint matching framework that formulates human preference alignment for flow-based generative models as an optimal contro...

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Lujia Zhong, Yihao Xia, Jianwei Zhang, Shuo huang, Jiaxin Yue, Mingyang Xia, Yonggang Shi · 2026-05-10 · 5 min AI

NeuroAgent: 用于多模式神经影像分析和研究的法学硕士代理

NeuroAgent: LLM Agents for Multimodal Neuroimaging Analysis and Research

多模态神经影像分析通常涉及复杂的, 模态特定预处理工作流程,需要仔细配置, 质量控制...

Multimodal neuroimaging analysis often involves complex, modality-specific preprocessing workflows that require careful configuration, quality control...

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Siru Ouyang, Jun Yan, Yanfei Chen, Rujun Han, Zifeng Wang, Bhavana Dalvi Mishra, Rui Meng, Chun-Liang Li, Yizhu Jiao, Kaiwen Zha, Maohao Shen, Vishy Tirumalashetty, George Lee, Jiawei Han, Tomas Pfister, Chen-Yu Lee · 2026-05-10 · 7 min AI

SkillOS: 自我进化代理的学习技能管理

SkillOS: Learning Skill Curation for Self-Evolving Agents

基于 LLM 的代理越来越多地被部署来处理流任务,,但它们通常仍然是一次性的问题解决者,无法从过去的经验中学习……

LLM-based agents are increasingly deployed to handle streaming tasks, yet they often remain one-off problem solvers that fail to learn from past inter...

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Zhexuan Wang, Xuebo Liu, Li Wang, Zifei Shan, Yutong Wang, Zhenxi Song, Min Zhang · 2026-05-10 · 3 min AI

MASPO: 基于 LLM 的多代理系统的联合提示优化

MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems

基于大型语言模型 (LLM) 的多代理系统 (MAS) 在处理复杂的协作任务, 方面表现出了希望,其中代理通常是...

Large language model (LLM)-based Multi-agent systems (MAS) have shown promise in tackling complex collaborative tasks, where agents are typically orch...

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Tianle Wang, Zhaoyang Wang, Guangchen Lan, Xinpeng Wei, Sipeng Zhang, Guanwen Qiu, Abulhair Saparov · 2026-05-10 · 5 min AI

强化学习能否向法学硕士教授长期推理? 表达能力是关键

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key

强化学习(RL)已被应用于改进大型语言模型(LLM)推理,,但对训练如何随任务扩展的系统研究...

Reinforcement learning (RL) has been applied to improve large language model (LLM) reasoning, yet the systematic study of how training scales with tas...

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