联邦学习遇上多智能体LLM编排，解决资源受限下的动态拓扑与资源分配难题，值得AI工程师细读。
arXiv:2608.20518v1 Announce Type: new Abstract: In Federated Learning (FL), the communication topology is a runtime variable rather than a fixed desig…
多智能体拆分分诊决策，能否在审计受限时揪出偏见？模拟研究揭示真实部署中的隐藏风险。
arXiv:2608.06949v1 Announce Type: new Abstract: Prior benchmarking work has shown that a single large language model (LLM), forced to make life-or-dea…
破解多模态大模型算力瓶颈，看ParVL如何并行扩展与弹性分配计算资源。
arXiv:2608.04010v1 Announce Type: cross Abstract: Existing scaling strategies for Multimodal Large Language Models (MLLMs) typically expand either mod…
公平分配至关重要，这个新基准专测大模型在稀缺资源分配中的种族与性别偏见
arXiv:2607.28934v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly involved in the distribution of scarce resources, rais…
面对不确定需求与履行成本，提出在线定价与联合分配模型，理论保证与数值实验兼具，决策优化新思路。
arXiv:2501.18049v3 Announce Type: replace Abstract: We study online learning for a seller that jointly chooses per-period inventory positions and a un…
自校准代理AI框架，让边缘资源分配更自主、高效。
arXiv:2607.22400v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly deployed as autonomous agents, transitioning from stat…
从协调内容入手，提出RCWT方法量化LLM调用中的任务-预算偏移，为AI系统资源分配提供新视角。
arXiv:2607.12216v1 Announce Type: new Abstract: Multi-agent and memory-augmented LLM systems often place coordination content, shared state, prior dis…
用在线线性规划算法优化LLM服务的多目标路由，兼顾效率与资源均衡
arXiv:2607.03948v1 Announce Type: new Abstract: We study the online routing problem in large language model serving, where requests arrive sequentiall…
从微小公司管理者视角，犀利质疑AI生产力缺乏整体性数据，直击成本效益决策痛点。
Article URL: https://rachelandrew.co.uk/archives/2026/06/11/wheres-the-holistic-ai-productivity-data/ Comments URL: https://news.ycombinator.com/item?…
研究公平在线资源分配问题，应用于难民安置与航班调度，提出最大化整体福利的在线模型
arXiv:2606.18679v1 Announce Type: cross Abstract: We study the problem of fair online resource allocation, motivated by applications such as refugee r…
字节跳动AI策略大转向：从烧钱做豆包大众产品，到靠企业服务年入135亿，商业变现逻辑已明朗。
IT之家 6 月 17 日消息，据晚点 LatePost 报道，截至上半年，每天 2 亿多人使用的 豆包应用每天收入不足百万元 ，主要来自电商佣金。 而到今年 5 月，参照火山引擎公开 API 价格，结合豆包大模型的毛利率及豆包用户使用习惯，在不算为训练豆包模型搭建的算力中心成本下，报道 推算 豆包…
从GPU匮乏到Token稀缺，揭示AI资源不平等的新维度
Article URL: https://adlrocha.substack.com/p/adlrocha-ai-inequality-from-gpu-poor Comments URL: https://news.ycombinator.com/item?id=48525226 Points: …
面向异构GPU云的可扩展联合资源分配方案，高效保障LLM推理的SLO约束
arXiv:2604.07472v2 Announce Type: replace Abstract: Serving large language model (LLM) inference in cloud environments requires jointly optimizing mod…
让大模型自主决定测试时计算如何分配，突破固定预算与策略的局限。
arXiv:2606.01667v1 Announce Type: new Abstract: Test-time scaling has become a major way to improve large language model reasoning, but its orchestrat…