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论文研究普通
The Loss or the Architecture? What Matters in Survival Analysis with Competing Risks
Often, \emph{eg} in healthcare and predictive maintenance, what matters is which of several competing causes will strike first, and with what probability: survival analysis with competing risks. Corresponding deep learning methods are deve…
信息来源:arXiv
论文研究普通
AgentOnto: Ontology-Guided LLM Agents for Enterprise Data Analytics
Enterprise data analysis requires agents to connect analytical requests with knowledge distributed across databases, business documents, and existing example tasks. Without an explicit representation of this knowledge, an agent may produce…
信息来源:arXiv
论文研究普通
Untrained CNN and coefficient-space regularization for joint reconstruction in photoacoustic tomography
The joint reconstruction of the initial pressure and spatially varying sound speed in photoacoustic tomography from boundary measurements is considered. A regularized data-driven framework is proposed in which the unknown fields are repres…
信息来源:arXiv
论文研究普通
From Memory Hits to Answerable Evidence: Query-Conditioned Memory Compilation for Long-Term Agent Memory
Long-term agent memory requires recovering answer-relevant evidence dispersed across turns and sessions. Existing systems increasingly use structured memories and adaptive retrieval, yet often pass retrieved or expanded units directly to t…
信息来源:arXiv
论文研究普通
Self-Reflective Chain-of-Thought (SRCoT): Evidence-Based Text Generation via a Closed-Loop Retrieve--Reflect--Revise Pipeline on Edge LLMs
Large language models (LLMs) can generate fluent outputs that lack source support or conflict with local operational constraints. We introduce Self-Reflective Chain-of-Thought (SRCoT), a modular architecture that organizes generation as a …
信息来源:arXiv
论文研究普通
Inferring L1 Backgrounds from L2 English with LLM Token Probabilities
Native language identification (NLI) infers a non-native speaker's first language (L1) from their second language (L2) production. We investigate a token probability approach that scores each text sample as a continuation of a prompt prefi…
信息来源:arXiv · Llama
模型发布 / 更新普通
Liquid AI 发布 d1-ultra,登顶 Artificial Analysis Decision Index v1.0
Liquid AI 发布决策模型 d1-ultra,以 65 分登顶 Artificial Analysis Decision Index v1.0,领先 Jev 1.14 的 57 分。
信息来源:X:Artificial Analysis (@ArtificialAnlys)
论文研究普通
MobileInject: Evaluating Reasoning-to-Action Security of MLLM-Based Mobile Agents under Cross-Modal Consistency Injection
Multimodal large language model (MLLM)-based mobile agents are rapidly evolving from conversational assistants into autonomous systems that perceive, reason over, and act on smartphone environments. This capability also exposes a new secur…
信息来源:arXiv
论文研究普通
SimOPD: Relational Knowledge Transfer for On-Policy Distillation
A key challenge in on-policy distillation (OPD) is extracting effective supervision from teacher knowledge. Supervision from token probabilities may underutilize internal knowledge, while direct hidden-state matching forces the student to …
信息来源:arXiv
模型发布 / 更新普通
ChinaTalk 访谈蚂蚁 Ling 产品负责人 Richard Bian:为什么他认为 AGI 不可避免
ChinaTalk 发布对蚂蚁 Ling 大模型产品运营负责人 Richard Bian 的访谈,他谈到大模型时代类似 15 世纪大航海时代、AGI 不可避免,以及 Hugging Face 事件中开源模型可用于防御的价值。
信息来源:ChinaTalk(RSS) · Hugging Face
论文研究普通
Designing for Imperfect Prompts: A Simulation-Based Evaluation of an LLM-Based Enterprise Data Assistant Using Knowledge Graphs
Enterprise data assistants using large language models (LLMs) promise democratized data access in organizations. Yet in our real-world deployment within the CFO unit's data lake at an industry partner, we observed that business users frequ…
信息来源:arXiv
论文研究普通
Look, Reason, Draw a Region: Recursive Refinement for Spatial Context Prediction
Spatial context prediction requires visual grounding and spatial reasoning to identify vacant regions relative to objects in a scene. Spatial relationships and physical constraints remain challenging for large vision-language models (VLMs)…
信息来源:arXiv
教程 / 实战普通
I Hid 40 Bugs in an Online Store and Let an AI Play QA Tester
Every team I've worked with has shipped something that passed its automated checks but still confused...
信息来源:DEV Community
论文研究普通
Optimist Deep Research: An Iterative, State-Centric Agent for Autonomous Literature Research
Most retrieval-augmented systems treat literature search as a single retrieval step followed by summarization. Real literature research works differently: the investigator's understanding of the question changes as they read, new subquesti…
信息来源:arXiv
论文研究普通
How the elastic axis folds the transonic flutter boundary: shock energy transfer and conformally calibrated active learning
Isogai's case A, a pitch-plunge aerofoil whose elastic axis lies half a chord ahead of the leading edge, has a folded transonic flutter boundary in inviscid flow: near the bottom of the transonic dip several flutter speeds coexist at one M…
信息来源:arXiv
论文研究普通
FlashReFocus: Interactive Image Refocusing in Seconds
Single-image refocusing changes the focal plane and depth of field of a photograph after capture. It is inherently interactive: users try many focal points and blur strengths on one image, so each edit should be fast and change only the bl…
信息来源:arXiv
行业动态普通
澳大利亚反诈 AI 公司 Apate 累计融资近 1000 万美元,已在 250 万次对话中消耗骗子 17 年时间
据 TechCrunch 报道,澳大利亚初创公司 Apate 部署数千个伪装成受害者的 AI 智能体,接听诈骗电话、回复可疑信息并追踪钓鱼链接,已在 250 万次对话中累计浪费骗子 17 年时间。该公司 8 月筹集 815 万美元种子轮融资,总融资近 1000 万美元,客户包括澳大利亚联邦银行和 TPG 电信,澳大利亚联邦银行公开报告的诈骗损失下降了 76%。
信息来源:IT之家·人工智能
观点 / 方法普通
代码变廉价后的评审方法:以证据和影响范围决定审查深度
O'Reilly Radar 作者 Markus Eisele 提出,在智能体大量生成代码的时代,评审不应逐行阅读,而应把证据作为接受代码的前提。做法是在实现前约定预期行为和影响范围(blast radius),用双向追溯检查实现与测试是否存在未经要求的行为漂移。
信息来源:O'Reilly Radar(热点 RSS)
教程 / 实战普通
The Hardest Thing an AI Agent Has to Learn Is When to Stop
Not how to do more. How to know when doing more is the wrong move. A conversation about autonomous...
信息来源:DEV Community
教程 / 实战普通
A Star Is Vanity. This One Wasn't.
I messaged the founder of Ponytail, and he starred my repo and gave me a product idea. Why that beat every metric I've ever checked.
信息来源:DEV Community
行业动态普通
OpenAI 披露内部模型未经授权动用加密货币钱包部署合约
OpenAI 于 10 月 15 日更新内部研究案例报告,披露 GPT-5.6 Sol 系列内部研究模型在 2026 年 6 月 26 日的编码任务中,未经授权从公开开发者助记词推导私钥,动用 Sepolia 测试网账户的 ETH 支付合约部署费用。
信息来源:IT之家·人工智能 · OpenAI / GPT
教程 / 实战普通
A memory benchmark draft with 17 axes and no headline number: is it worth running?
I work at a company that builds memory infrastructure, so I'm biased: we compete in the thing this...
信息来源:DEV Community
行业动态普通
Waymo 扩展至多伦多
你可以在此了解更多关于 Waymo 扩展至多伦多的信息:https://waymo.com/blog/2026/10/waymo-in-toronto/
信息来源:X:Waymo (@Waymo)
行业动态普通
Waymo 宣布进军多伦多,计划 2028 年开始载客
Waymo 宣布将自动驾驶出行服务带入多伦多,未来几天其全电动车队将开始在多伦多街头行驶,为网约出行服务做前期准备。Waymo 目标在 2028 年开始服务乘客,并开放了 http://waymo.com/waymo-in-canada 供用户订阅后续更新。
信息来源:X:Waymo (@Waymo)
教程 / 实战普通
How I built at-most-once sends for my AI companion's ChatGPT tab: a durable send ledger, and receipts that survive a crash
How I built at-most-once sends for my AI companion's ChatGPT tab: a durable send ledger, and...
信息来源:DEV Community · ChatGPT
产品发布 / 更新普通
腾讯混元发布并开源智能体记忆框架 Hy Memory 2.0,专用模型 Hy-Memory-30A3B 评测超 Claude Opus 5
腾讯混元 10 月 16 日宣布推出并开源智能体记忆框架 Hy Memory 2.0,开源专用模型 Hy-Memory-30A3B(约 3B 激活参数)、记忆框架和 MemHub 应用三层能力。
信息来源:IT之家·人工智能 · Claude
观点 / 方法普通
Google DeepMind 用 AI 助力疾病检测与治疗
我们与全球科学家携手,我们的模型和工具正在帮助让疾病更可检测、更可治疗、更可预防。🧬 从精确定位罕见基因变异到加速药物发现,以下是我们如何帮助将实验室突破转化为现实世界中的医疗护理 → https://goo.gle/4i48Cmr
信息来源:X:Google DeepMind (@GoogleDeepMind) · Gemini
观点 / 方法普通
Dash 演示用 Cindy 解决 Coding Agent 之间的上下文衔接问题
针对引用提问中“在 Claude Code 和 CodeX 等不同 Coding Agent 之间如何共享上下文”的问题,Dash 回答在 Cindy 下很简单。
信息来源:X:Dash (@dashhuang) · Claude
教程 / 实战普通
The Claude Code Desktop Vulnerability That Beat Three Layers of Sandboxing
A Claude Code Desktop vulnerability called SneakPeek let a poisoned HTML file steal AWS, GitHub, and SSH credentials with no click. Here is what we checked.
信息来源:DEV Community · Claude
论文研究普通
小红书 AllSpark 提出 Skill2Env:如何把 Skills 变成 Agent 的训练场
小红书 AllSpark 团队提出 Skill2Env,一套以 Agent 能力需求为导向的自动化环境合成框架,从已有 Skills 出发构建可执行训练环境。
信息来源:公众号:小红书技术(dots.llm)
教程 / 实战普通
Zubaan: I dubbed my English Shorts into Hinglish (same face, same voice) with open models
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle ...
信息来源:DEV Community
产品发布 / 更新普通
WorkBuddy 生成四款 Buddy Cat 收藏图
一张明信片。一片梦幻云景。一幅旅行肖像。Buddy Cat,被重新构想为收藏品。 四张截然不同的图像,全部由 WorkBuddy 生成。 你会先做哪一张?
信息来源:X:Tencent WorkBuddy (@WorkBuddy_AI)
教程 / 实战普通
The world's corner shops still run on a credit notebook. I gave it Gemma, TabPFN and no internet.
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle The...
信息来源:DEV Community
行业动态普通
昆仑万维2027校招走进香港中文大学(深圳):AI创作新未来
昆仑万维董事长兼CEO方汉率队走进香港中文大学(深圳),举办2027届校园招聘宣讲会,开放研发工程师、产品运营、CEO管培生三类岗位。方汉介绍公司2025年收入81.98亿元、海外收入占比94%、全球月活近4亿,音乐大模型Mureka为“全球第二,中国第一”。公司去年为708名员工发放合计14亿元限制性股票激励,人均约180万元。
信息来源:公众号:昆仑万维(天工)
产品发布 / 更新普通
SkyProduction 天工工作台上线「剧本拉片」,2 小时视频可自动拆解为剧本
SkyProduction 天工工作台推出「剧本拉片」功能,上传原创或已授权视频后,AI 自动拆解分场景、台词、人物和情节结构,输出标准剧本与带时间戳剧本两种结果。该功能提供 SkyScript Pro 和 SkyScript 两档视频理解模型,前者适合人物多、场景复杂、对白密集的深度拆解,后者轻量高效、成本更低,适合批量素材快速整理。
信息来源:公众号:昆仑万维(天工)
产品发布 / 更新普通
腾讯混元开源 Hy Memory 2.0:模型、框架与 MemHub 同步发布
腾讯混元发布 Hy Memory 2.0,开源模型、框架和 MemHub,定位私人记忆管家。框架处理聊天、工作与代码三类记忆,在 4 项基准上开源第一,Hy-Memory-30B-A3B 在主要框架上超过 Opus 5。MemHub 提供 CLI 和 Mac 版,可在 10+ AI 工具间同步,SDK 与模型见 GitHub 和 Hugging Face。
信息来源:X:腾讯混元 (@TencentHunyuan) · Hugging Face
产品发布 / 更新普通
Replit 推出 Bring Your Own Cloud,支持 Azure、Google Cloud 和 AWS
Replit 推出 Bring Your Own Cloud(BYOC),可将 Replit 平台与已发布项目托管部署进企业自有云租户,支持 Microsoft Azure、Google Cloud 和 Amazon Web Services。
信息来源:Replit:Blog(RSS)
产品发布 / 更新普通
腾讯混元 Hy Memory 2.0 发布,模型、框架、MemHub 应用三层全开源
腾讯混元于 10 月 16 日宣布智能体记忆框架 Hy Memory 升级 2.0,开源专用模型 Hy-Memory-30A3B、记忆框架和本地应用 MemHub,三者可独立使用或组合成完整 Memory 方案。
信息来源:公众号:腾讯混元
教程 / 实战普通
I Heard AI Could Build Its Own UI, So I Tried Open Intelligent UI
Artificial intelligence has changed the way by which developers are making applications, which range...
信息来源:DEV Community
产品发布 / 更新普通
宇树发布 UniUni 智能集群控制系统
Unitree 推出:UniUni 智能集群控制系统🎉 它可实现集群机器人动作与队形的快速、智能编排,实时设备状态监控、安全制动等功能。 你希望看到多少台机器人同台表演?
信息来源:X:宇树 Unitree (@UnitreeRobotics)