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模型发布 / 更新普通
Jev 成 OpenRouter 分类请求首选
Jev 正迅速成为 OpenRouter 上分类请求的首选。 它占据了该类别每周请求量的 27%,几乎是此前位居榜首的 DeepSeek V4 Flash 份额的两倍
信息来源:X:OpenRouter (@OpenRouter) · DeepSeek
论文研究普通
Transfer Learning for Edge Classification on Dynamic Text-Attributed Graphs
Learning transferable representations for dynamic text-attributed graphs (DyTAGs) requires models to capture underlying interaction dynamics that persist across domains. However, existing methods tend to overfit to domain-specific structur…
信息来源:arXiv
论文研究普通
Sliced Orlicz-Wasserstein
We propose sliced Orlicz-Wasserstein (SOW) distance which is a generalization of sliced Wasserstein (SW) distance. SOW replaces the $L^p$ norm in SW with a Luxemburg norm cost induced by an Orlicz function $φ$. First, we prove that SOW dis…
信息来源:arXiv
论文研究普通
SynCo: Learning Cross-Modal Synergy by Contrasting Interaction Residuals
Multimodal contrastive learning is a dominant paradigm for learning transferable representations from unlabeled data, but standard objectives primarily capture information that is redundant between modalities. Partial Information Decomposi…
信息来源:arXiv
观点 / 方法普通
Nathan Lambert:适配前沿模型的企业将获巨大加速
Nathan Lambert 认为,工作文化适配前沿模型与员工交互方式的企业,将相对竞争对手获得巨大加速,员工使用这些模型的灵活度同样关键。他引用 @signulll 的观点:若给 Opus 5.5 完整接入公司邮件、Slack、文档、浏览器、数据库、日历、内部工具、权限与组织记忆,并配合可靠的计算机使用与验证循环,几乎所有白领工作已可无需人类完成。
信息来源:X:Nathan Lambert (@natolambert)
论文研究普通
VCRE-Fib: View-Conditioned Regional Evidence for Fine-Grained Ultrasound Grading of Schistosoma japonicum-Associated Liver Fibrosis
Accurate assessment of Schistosoma japonicum-associated liver fibrosis is essential for disease management and long-term follow-up in endemic regions. Ultrasound provides non-invasive imaging, but complex local echogenic patterns and anato…
信息来源:arXiv
论文研究普通
Mend the Measurement Gap: Latent User Preference Modeling for Short-Form Video Recommendation
Recommender systems rely heavily on heterogeneous behavioral feedback to infer user preference. Although abundant, these signals are imperfect measurements: the same observed behavior can arise from different underlying states, such as gen…
信息来源:arXiv
论文研究普通
HamiFormer: Dual-Expert Diffusion Fields with Affine Symplectic Maps
Predicting smooth dynamics and collisions requires modeling continuous evolution and abrupt state changes. We introduce HamiFormer, a dual-expert diffusion field combining whole-window denoising with residual-corrected Hamiltonian propagat…
信息来源:arXiv
论文研究普通
Scanning While Imagining: A Scene-Graph World Model for Robotic Ultrasound Navigation
Ultrasound (US) acquisition depends on the operator's ability to interpret anatomy and anticipate how the view will change with probe motion. Many robotic US navigation methods select actions without explicitly predicting these anatomical …
信息来源:arXiv
论文研究普通
Radiomap Blind Prediction under Incomplete Observation: Error Characterization and Correctable Propagation-Prior Learning
Radiomap blind prediction aims to infer radiomaps from observable representations of the propagation environment and base station configuration without field measurements. In practice, the observable representations are inherently incomple…
信息来源:arXiv
观点 / 方法普通
Runway 即将登陆 Muse
Runway 即将登陆 Muse。
信息来源:X:Runway (@runwayml)
论文研究普通
FinancialAuditBench: Benchmark Construction under Differential Privacy Using Real-World Priors
As AI agents are becoming widely adopted in the financial services industry, careful measurement is essential to understand where they can be reliably deployed and where oversight and professional review remain necessary. Such measurement,…
信息来源:arXiv
教程 / 实战普通
Incident War Room: an incident-response tool where the approval gate and the AI can't be faked out
This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange What I...
信息来源:DEV Community
论文研究普通
Permutation-Equivariant Flow Matching for Alignment-Free Neural Weight Generation
A trained neural network can be represented by a parameter vector in high dimensions. Learning distributions over these vectors enables the generation of new models across various tasks and architectures. A central challenge is permutation…
信息来源:arXiv
论文研究普通
Over-the-Air Federated Learning in Heterogeneous Mobile Wireless Networks
Over-the-air computation has emerged as a scalable and efficient solution for deploying federated learning algorithms in wireless networks by exploiting waveform superposition for simultaneous model aggregation. Most existing work struggle…
信息来源:arXiv
论文研究普通
UniCache: Task- and Type-Aware KV Cache Compression for Unified Multimodal Models
Unified multimodal models combine understanding, generation, and editing within a single network, offering a promising foundation for versatile multimodal applications. However, growing multimodal contexts make KV cache storage and access …
信息来源:arXiv
观点 / 方法普通
您的 Postgres 迁移是安全的还是不安全的?
safe-not-safe 工具可通过 `npx safe-not-safe check migration.sql` 命令检查 Postgres 迁移是否安全。它基于 libpg_query 17 的 WASM 解析器,在浏览器 worker 中下载并编译,支持 PostgreSQL 16,且无遥测。
信息来源:Hacker News 热门(buzzing.cc 中文翻译)
论文研究普通
Retimed Bellman Flows: Escaping the Impossible Triangle of Velocity Bootstrapping
Flow critics learn return distributions by transporting Gaussian noise to Bellman endpoints via continuous velocity fields. While velocity bootstrapping stabilizes training by querying a successor teacher, existing methods face a structura…
信息来源:arXiv
论文研究普通
Improving LLM Collaboration via Multi-Agent Preference Learning
Several works have explored multi-agent reinforcement learning (MARL) in LLM collaboration. However, constructing reliable rewards is difficult in practice, as complete and accurate metrics are often unavailable and hard to aggregate. Pref…
信息来源:arXiv
论文研究普通
The Decomposition Tax: LLM Pipelines Lose Up to 40 Accuracy Points at Their Own Interfaces
A four-stage LLM pipeline gives up as much as 40.5 accuracy points at its own interfaces (gemma-3-12B on MATH-500, Holm-corrected p = 1.66e-19; the largest tax in the primary family). We hold model, problem, stages, stage prompts and compl…
信息来源:arXiv
论文研究普通
Routing Drift Alone Does Not Diagnose Failure in Merged MoE LLMs
Model merging efficiently combines specialized large language models (LLMs) without joint retraining, but can substantially alter expert routing in Mixture-of-Experts (MoE) models. Such \emph{routing drift} is often interpreted as routing …
信息来源:arXiv · Qwen
论文研究普通
Learning Shuffle Ideals with Membership Queries and Contrastive Examples
This paper studies learning of shuffle ideals with membership queries as well as with contrastive queries---a form of membership query that reveals not only whether a selected word $w$ is in the target language or not, but also provides a …
信息来源:arXiv
论文研究普通
Rank Collapse Is Recoverable, Growing $|Q|$ Is Not: Out-of-Sample Early Warning for Value Divergence in High-UTD Soft Actor-Critic
Raising the update-to-data (UTD) ratio breaks off-policy critics in two ways grouped as "plasticity loss": collapsing representations and growing value magnitude $|Q|$. We separate them in Soft Actor-Critic (SAC) with scaled critics (width…
信息来源:arXiv
论文研究普通
When Can First-Order Models of Fine-Tuning Bound Forgetting?
Fine-tuning a language model on new data can make it forget facts that it should keep. We ask whether measurements taken at the start of a fine-tuning run can bound, for each protected fact, the probability that the run makes the model for…
信息来源:arXiv
教程 / 实战普通
Mecropolis: Tracking Crop Stages from Past Weather
This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange What I...
信息来源:DEV Community
论文研究普通
Right Answer, Wrong Reason: Accuracy, Consistency, and Consensus Are Misleading Indicators of LLM Faithfulness in Clinical Decision Support
Clinical Large Language Models (LLMs) achieve strong medical-exam accuracy; however, a correct answer does not guarantee that the explanation names the concepts that actually drove the decision. We introduce three lightweight, directly int…
信息来源:arXiv
行业动态普通
AI 初创种子轮融资门槛飙升
IPO 时的市值: NVIDIA:3.45 亿美元 Amazon:4.3 亿美元 Apple:12 亿美元 然而今天,如果一家 neolab 种子轮融资不到 4 亿美元,人们就会质疑它为什么融得这么少。 在我看来,充裕的资本对 AI 初创公司创始人来说是一把双刃剑。
信息来源:X:Yuchen Jin (@Yuchenj_UW) · NVIDIA
教程 / 实战普通
Not Everything Needs an AI Agent
Why adding autonomy to a software problem can make the architecture worse We have started calling...
信息来源:DEV Community
教程 / 实战普通
A security researcher told me to close my OAuth registration endpoint. I said no.
Last week I got an unsolicited security report about my QR code service. It was polite, it was...
信息来源:DEV Community
观点 / 方法普通
调查显示三分之二 IT 高管能拿出 AI 成果,但仅约 8 人敢为此打断 CEO 假期
Exponential View 创始人 Azeem Azhar 在拉斯维加斯向约 160 位 IT 副总裁提问,三分之二表示能指出可衡量的 AI 成果,但被追问成果是否好到值得打断 CEO 暑假时,只剩约 8 人。Azhar 认为企业进展缓慢,AI 投入能否回本仍"微妙平衡";BCG 调查显示约 70% 的 CEO 因 AI 成败关乎自身评价而有动力美化现状。
信息来源:The Decoder:AI News(RSS)
教程 / 实战普通
[AI in Action] Gemini Agentic Video: 4 Hidden Prerequisites and My LINE Bot Integration Process
Background I have a LINE Bot that I use every day, linebot-helper-python. If you send it...
信息来源:DEV Community · Gemini
教程 / 实战普通
[AI in Practice] Gemini 3.8 Flash TTS Launch: I built a "Learn Japanese with MVs" Web App and burned through my daily quota.
前情提要 每次看到 Gemini 出新功能,我第一個念頭都是「能不能接進我的 LINE Bot」。 9/22 的 Gemini API release notes 寫著...
信息来源:DEV Community · Gemini
教程 / 实战普通
[AI in Practice] Deploying Song Lingo to Cloud Run: Making a Private Lyrics Website Just for Me
前情提要 上一篇我用 Gemini 3.8 Flash TTS 做了 Song Lingo:貼 YouTube MV 網址,Gemini 轉錄歌詞、加上拼音翻譯文法,再由一位用...
信息来源:DEV Community · Gemini
教程 / 实战普通
Behind EcoPrompt: How I modeled the hidden physical cost of AI prompts (Zero Telemetry)
A deep dive into why I built EcoPrompt, the peer-reviewed research behind its metrics, and how to track LLM environmental impact locally in your browser.
信息来源:DEV Community
模型发布 / 更新普通
用 Claude Code 做视频一年回顾
大约就在一年前,我发布了最早一批关于用 Claude Code 制作视频的帖子之一。 这些视频每一个实际上都花了很长时间用 Claude 反复迭代、调整到位,指出哪里不对等等。 变化之大,令人惊叹。 [引用 @trq212]:把 Claude Code 当作你的视频编辑器 信不信由你,下面你看到的每一个视频都是用 Claude Code 氛围编程做出来的。 🧵 以下是你也能做到的方法:
信息来源:X:Thariq (@trq212) · Claude
教程 / 实战普通
Writing code character by character
I want to talk a bit about where we came from in software and where we are now. Not the industry in...
信息来源:DEV Community
观点 / 方法普通
用 Opus 5.5 Max Fast 修错别字
用 opus 5.5 max fast 来修一个错别字
信息来源:X:Lauren Tan (@poteto)
教程 / 实战普通
How Do You Know When AI Is Wrong? The Case for Evals.
Evaluation is not a new discipline invented for a new kind of system. It is the oldest discipline in...
信息来源:DEV Community
模型发布 / 更新精选
Claude Opus 5.5 (High) 以 1509 分登顶 Arena Text Arena 榜首
Arena 宣布 Claude Opus 5.5 (High) 以 1509 分首次登顶 Text Arena,比 Opus 5 (High) 高 18 分(现列第 11)。Opus 4.6 (High) 以 4 分之差保持第 2,Anthropic 包揽该榜前六名;Opus 5.5 (High) 按每百万 token 输入/输出定价折算的混合价格为 $16/MToken,进入 Text Arena 的 Pareto 前沿。
信息来源:X:Arena (@arena) · Claude
论文研究普通
研究:AI建议可用让人几乎不再愿意说“我不知道”
一项覆盖3132名参与者、共五个实验的研究发现,仅当AI建议可用时,人们放弃回答的比例从36-44%骤降至3-6%。由于所用模型Step 3.5 Flash对所测试的电影视觉细节问题几乎全错,参与者正确率反而从27.5%降至9.2%;财务激励能减少求助AI并略提升弃答比例,但未能扭转效应,即使AI答案自动展示时弃答率也降至1-7%。
信息来源:The Decoder:AI News(RSS)