BV Swagath
·
2026-05-17
·
8 min
Apparel Trade
Under Armour 第四季度净亏损有所改善
Under Armour Q4 net loss improves
Under Armour 2026 财年第四季度 (FY26), 的净亏损为 24.43 亿%,2026 财年 (FY26) 的净亏损为 244.96 亿%,因为它的目标是……
Under Armour recorded a net loss of $43m for the fourth quarter of fiscal 2026 (Q4 FY26), and a net loss of $496m for fiscal 2026 (FY26) as it aims to...
01
Isatou Ndure
·
2026-05-17
·
7 min
Apparel Trade
Authentic Brands 是否正在寻求与 Lee Jeans 达成另一项牛仔布交易?
Is Authentic Brands chasing another denim deal with Lee Jeans?
Kontoor Brands 正在考虑出售 Lee Jeans,据报道 Authentic Brands Group 重新成为潜在买家, 扩大了该集团的 的业务...
Kontoor Brands is exploring a sale of Lee Jeans as Authentic Brands Group reportedly re-emerges as a potential buyer, extending the conglomerate’s blo...
02
Jangoulun Singsit
·
2026-05-17
·
3 min
Apparel Trade
零售商谨慎行事,进口货运量低于 2025 年预测
Retailer caution keeps import cargo volume under 2025 projections
预计到初秋,美国集装箱港口将处理较低的进口量,,延续今年早些时候开始的趋势, 根据...
US container ports are projected to handle lower import volumes into early autumn, continuing a trend that began earlier in the year, according to the...
03
Jangoulun Singsit
·
2026-05-17
·
4 min
Apparel Trade
Aii 目标是与 20 家脱碳设施建立年度合作伙伴关系
Aii targets annual partnership with 20 facilities for decarbonisation
服装影响研究所 (Aii) 已分享计划,在未来五年内每年与至少 20 家制造工厂合作,以实施...
The Apparel Impact Institute (Aii) has shared plans to partner with at least 20 manufacturing facilities each year over the next five years to impleme...
04
Renning Pang, Tian Lan, Leyuan Liu, Piao Tong, Sheng Cao, Xiaosong Zhang
·
2026-05-17
·
10 min
AI
LLM 工具使用的自适应推理和执行的基于案例的校准
Case-Based Calibration of Adaptive Reasoning and Execution for LLM Tool Use
工具的使用将大型语言模型扩展到参数知识之外,,但可靠的执行需要平衡适当的推理深度与严格的......
Tool use extends large language models beyond parametric knowledge, but reliable execution requires balancing appropriate reasoning depth with strict ...
05
Rongman Xu, Yifei Li, Tianzhe Zhao, Yanrui Wu, Bo Li, Hang Yan
·
2026-05-17
·
7 min
AI
二维一致性: 在自适应推理时间缩放中平衡预算和质量
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling
大型语言模型 (LLMs) 表现出了卓越的推理能力。然而, 通过推理时间缩放来最大限度地发挥其潜力...
Large Language Models (LLMs) have demonstrated remarkable abilities in reasoning. However, maximizing their potential through inference-time scaling f...
06
Riccardo Terrenzi, Maximilian von Zastrow, Serkan Ayvaz
·
2026-05-17
·
5 min
AI
为什么邻域很重要: Agentic GraphRAG 中的遍历上下文和来源
Why Neighborhoods Matter: Traversal Context and Provenance in Agentic GraphRAG
检索增强生成可以通过将答案扎根于外部证据, 来提高事实性,但 Agentic GraphRAG 使其对公民的意义变得复杂化......
Retrieval-Augmented Generation can improve factuality by grounding answers in external evidence, but Agentic GraphRAG complicates what it means for ci...
07
Evan Rose, Tushin Mallick, Matthew D. Laws, Cristina Nita-Rotaru, Alina Oprea
·
2026-05-17
·
8 min
AI
APWA: 用于可并行代理工作流的分布式架构
APWA: A Distributed Architecture for Parallelizable Agentic Workflows
基于大型语言模型 (LLMs) 的自主多智能体系统在独立解决复杂任务方面表现出了卓越的能力......
Autonomous multi-agent systems based on large language models (LLMs) have demonstrated remarkable abilities in independently solving complex tasks in ...
08
Jangoulun Singsit
·
2026-05-16
·
8 min
Apparel Trade
Wolverine Worldwide 2026 财年开局强劲
Wolverine Worldwide starts FY26 strong
Wolverine Worldwide 公布了好于预期的 2026 财年第一季度 (Q1 FY26) 业绩,,收入, 毛利率和每股收益...
Wolverine Worldwide has reported better-than-expected first quarter fiscal 2026 (Q1 FY26) results, with revenue, gross margin and earnings per share s...
09
Shang Zhou, Wenhao Chai, Kaiyuan Liu, Huanzhi Mao, Qiuyang Mang, Jingbo Shang
·
2026-05-16
·
9 min
AI
OpenDeepThink: 通过 Bradley-Terry 聚合进行并行推理
OpenDeepThink: Parallel Reasoning via Bradley-Terry Aggregation
测试时计算扩展是改进 LLM 推理的主轴。现有的方法主要通过扩展单个推理轨迹来扩展深度......
Test-time compute scaling is a primary axis for improving LLM reasoning. Existing methods primarily scale depth by extending a single reasoning trace....
10