Yasmine Omri, Ziyu Gan, Zachary Broveak, Robin Geens, Zexue He, Alex Pentland, Marian Verhelst, Tsachy Weissman, Thierry Tambe
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2026-06-05
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7 min
AI
有状态长期工作负载的代理内存: 特征和系统影响
Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads
LLM 智能体越来越多地部署在需要对长期交互历史进行持续推理的长期任务上。大规模地意识到这一点......
LLM agents are increasingly deployed on long-horizon tasks requiring sustained reasoning over extended interaction histories. Realizing this at scale ...
01
Zhuoming Chen, Xinrui Zhong, Qilong Feng, Ranajoy Sadhukhan, Yang Zhou, Michael Qizhe Shieh, Zhihao Jia, Beidi Chen
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2026-06-05
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3 min
AI
Vortex: 为 AI 代理提供高效且可编程的稀疏注意力服务
Vortex: Efficient and Programmable Sparse Attention Serving for AI Agents
随着生成长度的不断增长,稀疏注意力对于服务大型语言模型 (LLMs) 变得越来越重要。然而, 部署...
Sparse attention is becoming increasingly important for serving large language models (LLMs) as generation lengths continue to grow. However, deployin...
02
Shiyun Xiong, Dongming Wu, Peiwen Sun, Yuang Ai, Bokang Yang, Wencheng Han, Xiao-Hui Li, Xiangyu Yue
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2026-06-05
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3 min
AI
一次性对所有地方的所有内容进行基准测试
Benchmark Everything Everywhere All at Once
基准通过提供标准化和明确的绩效衡量标准,是评估和推进 LLM 和 MLLM 的基础。然而,他们的...
Benchmarks are fundamental for evaluating and advancing LLMs and MLLMs by providing standardized and explicit measures of performance. However, their ...
03
Jui-Hui Chung, Ziyang Cai, Zihao Li, Qishuo Yin, Rohit Agarwal, Simon Park, Rodrigo Porto, Narutatsu Ri, Ziran Yang, Shange Tang, Xingyu Dang, Hongzhou Lin, Mengdi Wang, Danqi Chen, Chi Jin, Liam H Fowl, Sanjeev Arora
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2026-06-05
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8 min
AI
Goedel-Architect: 通过蓝图生成和细化简化形式定理证明
Goedel-Architect: Streamlining Formal Theorem Proving with Blueprint Generation and Refinement
我们引入了 Goedel-Architect, ,这是一个在 Lean 4 中以蓝图生成和细化为中心的形式定理证明的代理框架。一张蓝图...
We introduce Goedel-Architect, an agentic framework for formal theorem proving in Lean 4 centered on blueprint generation and refinement. A blueprint ...
04
Shangheng Du, Xiangchao Yan, Jinxin Shi, Zongsheng Cao, Shiyang Feng, Zichen Liang, Boyuan Sun, Tianshuo Peng, Yifan Zhou, Xin Li, Jie Zhou, Liang He, Bo Zhang, Lei Bai
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2026-06-05
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8 min
AI
MLEvolve: 用于自动机器学习算法发现的自我进化框架
MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery
大型语言模型 (LLM) 代理越来越多地应用于长期任务,例如科学发现和机器学习工程 (MLE), ...
Large language model (LLM) agents are increasingly applied to long-horizon tasks such as scientific discovery and machine learning engineering (MLE), ...
05
yxc0433
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2026-06-05
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3 min
US-China Trade
Nvidia AI 芯片, 中国 PCB 引发美国安全担忧
Beneath Nvidia AI chips, Chinese PCBs raise security concerns in U.S.
印刷电路板几乎位于每个芯片的下面,,几乎是每个电子产品的必需品。它们构成了蓬勃发展的安静但至关重要的一部分......
Printed circuit boards sit underneath almost every chip, a necessity in nearly every electronic. They make up a quiet but crucial piece of the booming...
06
Sheng Jin, Minghao Liu, Yunze Xiao, Zeqi Zhou, Heli Qi, Yifan Yao, Meishu Song, Kaijing Ma, Xuan Zhang, Sicong Jiang, Yizhe Li, Ningshan Ma, Jie Wei, Ziniu Li, Minglai Yang, Bangya Liu, Yiming Liang, Xiao Fang, Qingcheng Zeng, Jiarui Liu, Rui Yang, Shen Yan, Wenhao Huang, Jiaheng Liu, Zihan Wang, Weihao Xuan, Ge Zhang
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2026-06-05
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3 min
AI
诺亚的方舟知识索引
Knowledge Index of Noah's Ark
LLM 的知识基准面临三个问题: 扩展驱动的设计无法实现学科代表性; 固定付款注释...
Knowledge benchmarks for LLMs face three issues: scaling-driven designs that do not operationalize disciplinary representativeness; flat-payment annot...
07
Adam Zewe | MIT News
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2026-06-05
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3 min
AI
麻省理工学院的研究人员教人工智能模型解释图表
MIT researchers teach AI models to interpret charts
为了在快节奏的,全球市场,中加速和完善决策,企业可以部署生成人工智能模型来帮助...
To accelerate and refine decision-making in a fast-paced, global marketplace, enterprises may deploy generative artificial intelligence models to help...
08
Laboratory for Nuclear Science
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2026-06-05
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4 min
AI
NSF 更新对 MIT 的支持
NSF renews support for MIT
麻省理工学院领导的人工智能和基本交互研究所 (IAIFI) 获得了国家科学基金会的重新支持...
The MIT-led Institute for Artificial Intelligence and Fundamental Interactions (IAIFI) has received renewed support from the National Science Foundati...
09
Media Lab
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2026-06-05
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8 min
AI
促进人工智能培训和行业就业机会的 PATH
PATH to boost AI training and career opportunities for industry
MIT, 与佐治亚州立大学和不断增长的教育机构网络, 合作,宣布在 PATH (Pathway 下扩大工作...
MIT, in collaboration with Georgia State University and a growing network of educational institutions, has announced expanded work under PATH (Pathway...
10