A New Framework for How the Brain Compresses Our Noisy World
(翻译)大脑压缩嘈杂世界的新框架
An updated view of categorization reflects the modern understanding that the nervous system is more of a prediction engine than a filing cabinet.

(翻译)大脑压缩嘈杂世界的新框架
An updated view of categorization reflects the modern understanding that the nervous system is more of a prediction engine than a filing cabinet.

作者丨 幸丽娟 编辑丨岑 峰  

(翻译)我们通过复现 2,200 篇 ICML 论文学到了什么
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
(翻译)OlmoEarth 嵌入介绍:从 OlmoEarth Studio 导出自定义嵌入用于下游分析
A Blog post by Ai2 on Hugging Face

(翻译)量化感知修复:性能超越全精度原版的压缩 4 比特模型
A Blog post by Multiverse Computing on Hugging Face

(翻译)巡天检测通道覆盖天文学基础模型中的像素,并使层析平均红移产生偏置
arXiv:2608.23626v1 Announce Type: new Abstract: Foundation models for astronomy are trained on survey pixels together with the catalogue products derived from those pixels. Those catalogues are incomplete at a measurable rate, and a model trained on both inherits that incompleteness as a systematic.
强化学习之父Rich Sutton接受红杉访谈,把矛头对准当下最主流的大模型路线:互联网数据终有上限、模型上线后权重基本冻结,行业或已陷入“局部最优”。他创办Oak Lab,押注能从自身经验持续学习的Agent,重新定义AI演进路径。

(翻译)评价评价者:用于大语言模型评测的Rasch测量理论
Abstract page for arXiv paper 2608.27463: Rating the Raters: Rasch Measurement Theory for LLM Evaluation
(翻译)I-CARE:在可控、多样且具代表性的文本到图像模型遗忘设置中分析干扰相关现象
Abstract page for arXiv paper 2609.00003: I-CARE: Analysis of interference-related phenomena in a controllable, diverse and representative unlearning setting for text-to-image models
(翻译)随机需求时序下多物品能力受限批量计划问题的离散时间马尔可夫决策过程建模
Abstract page for arXiv paper 2609.00004: Discrete-Time MDP Modeling for Multi-Item Capacitated Lot Sizing with Stochastic Demand Timing
(翻译)SCAFFOLD:面向计算机科学研究图表的大规模结构化数据集,包含图表问答与思维链推理轨迹
Abstract page for arXiv paper 2609.00018: SCAFFOLD: A Large-Scale Structured Dataset of Computer Science Research Figures with Diagram QA and Chain-of-Thought Reasoning Traces
(翻译)用100步GRPO微调350M模型以获得更好的结构化输出
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
(翻译)用于医学病灶分割的带视觉先验的特征重配置
Abstract page for arXiv paper 2609.03535: Feature Reconfiguration With Visual Prior for Medical Lesion Segmentation