We present a systems-security case study of a two-node split-LLM training system whose privacy evaluation passed while l…

Multi-agent LLM systems commonly use an orchestrator to decompose a task for a team of workers and then improve through …

As large language models (LLMs) are increasingly deployed in alignment-sensitive contexts, activation steering has emerg…

Layer dropout (a.k.a. stochastic depth) has been shown to enable faster training, higher accuracy, and robustness to zer…

Benchmarks for the side effects an agent causes on the way to a goal already exist, but HarvestBench is the first to put…

Large language models are increasingly deployed as agents that plan over long horizons and act through external tools. M…

We present a continuous, population-scale measurement record of autonomous language-model trading agents operating in pr…

Safety alignment is usually posed as a topic-level question: is this subject harmful? Deployments ask a narrower one. A …

LLM agents are rapidly becoming production software, deployed to handle customer service, adjudicate disputes, and opera…

Reasoning in large language models unfolds through diverse functional operations, such as problem formulation, goal deco…

Long-video language models cannot look at every frame: an hour sampled once per second is 3,600 images, and a system kee…

Large Language Models (LLMs) owe much of their success to next-token prediction (NTP), but their autoregressive (AR) str…

Anthropic 发布模型上下文协议（Model Context Protocol），以开放标准统一 LLM 应用与外部数据源、工具的连接方式，被社区称为'AI 应用的 USB-C 接口'。

从"控制流所有权"这一第一性原理出发，拆解 Workflow（DAG 编排、确定性执行）与 Agent（ReAct 循环、涌现式控制流）的技术原理差异；详解 Agentic Workflow"图做骨架、节点内自主"的三层混合架构，以及提示链/路由/并行化/编排者-执行者/评审-优化五种经典编排模式与工程选型经验。

Visual generation is evolving from generative models used through a single invocation into agentic control processes tha…

Designing and authoring high-performance custom kernels for accelerators is a complex task that requires deep hardware-l…

Many NLP tasks, such as summarization and extractive question answering, reduce to retrieving relevant content from docu…

Ensuring factuality remains a critical challenge for deploying LLMs in high-stakes settings. Existing hallucination dete…

截至 2026 年 9 月，Pi 智能体框架 GitHub Star 突破 86k，pi-ai / pi-agent-core / pi-tui 组件被大量第三方 Agent 项目复用，'自建 Agent 而非套框架'成为新潮流。

Sora 基于扩散模型与 Transformer 架构，可直接从文本生成长达一分钟的高保真视频，展示了对物理世界'世界模拟器'式的理解潜力。