Dense Retrievalのためのテスト時計算：フローズンエンコーディングモデルによるエージェントプログラム生成 - 慣性聚合

おすすめ購読元

Netflix TechBlog - Medium

Microsoft Azure Blog

freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More

Security Archives - TechRepublic

Darknet – Hacking Tools, Hacker News & Cyber Security

IntelliJ IDEA : IntelliJ IDEA – the Leading IDE for Professional Development in Java and Kotlin | The JetBrains Blog

博客园 - 【当耐特】

About on SuperTechFans

阮一峰的网络日志

Tailwind CSS Blog

Future of Privacy Forum

Vulnerabilities – Threatpost

Java Code Geeks

博客园 - 叶小钗

Last Week in AI

OSCHINA 社区最新新闻

Stack Overflow Blog

李成银的技术随笔

The Hacker News

Schneier on Security

True Tiger Recordings

CXSECURITY Database RSS Feed - CXSecurity.com

Cybersecurity and Infrastructure Security Agency CISA

Fox-IT International blog

The Register - Security

博客园 - 聂微东

Threat Intelligence Blog | Flashpoint

Know Your Adversary

Stack Overflow Blog

Microsoft Security Blog

Tor Project blog

The Exploit Database - CXSecurity.com

Palo Alto Networks Blog

cs.LG updates on arXiv.org

Personalized Generative Models for Contextual Debiasing From Privacy to Generalization: Linear Max-Information Bounds for DP-SGD When Does Deep RL Beat Calibrated Baselines? A Benchmark Study on Adaptive Resource Control Amortized Factor Inference Networks for Posterior Inference Classification and detection of multiple UAVs using rational Gaussian wavelet neural networks Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning Modeling Dynamic Mixtures of Time-Delay Systems from Streaming Time Series AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion Neural Bayesian Sequential Routing GAC: Noise-Aware Adaptive Mixing for Hybrid SFT-RL Post-Training Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks Function-Valued Causal Influence in Nonlinear Time Series The Bridge-Garden Dilemma in LLM Distillation: Why Mixing Hard and Soft Labels Works Balancing Plasticity and Stability with Fast and Slow Successor Features InfoQuant: Shaping Activation Distributions for Low-Bit LLM Quantization FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis TrackRef3D: Multi-View Consistent Track-then-Label for Open-World Referring Segmentation in 3D Gaussian Splatting TSFMAudit: Data Contamination Auditing in Forecasting Time Series Foundation Models On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach CSV-ViT: A Vision Transformer with the Variable-sized Cortical Supervertices for Detection of Alzheimer's Disease Pathologies Max-Window Scale Estimation for Near-Lossless HiF8 W8A8 Quantization-Aware Training Online Learning on Hidden-Convex Losses via Algorithmic Equivalence: Optimal Regret, Geometric Barrier, and Bandit Feedback Curriculum Learning for Safety Alignment A PAC-Bayesian View of Generalisation for Physics-Informed Machine Learning Dynamic Link Prediction with Temporally Enhanced Signed Graph Neural Networks GEM: Geometric Entropy Mixing for Optimal LLM Data Curation Reparametrizing Shampoo and SOAP for Subspace Basis Updates and BFloat16 Storage Unified Neural Scaling Laws Semigroup Consistency as a Diagnostic for Learned Physics Simulators QAM-W: Joint 2D Codebook Quantization for LLM Weights via Hadamard Rotation and Activation-Aware Scaling HRVConformer: Neonatal Hypoxic-Ischemic Encephalopathy Classification from the Heart Rate signals Scaling World-Model Reinforcement Learning Through Diffusion Policy Optimization A Hybrid Vision-Language Architecture for Automated Defect Reasoning and Report Generation in Industrial Inspection Quantized Keys Steal Attention: Bias Correction for KV-Cache Compression in Video Diffusion BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Modeling in Hepatocellular Carcinoma Bridging Classification and Reconstruction: Cooperative Time Series Anomaly Detection SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Co-folding model guided by structural proteomics Energy-Gated Attention and Wavelet Positional Encoding: Complementary Inductive Biases for Transformer Attention Stateful Inference for Low-Latency Multi-Agent Tool Calling Two-Parameter Flows for Learning Population Dynamics of Physical Systems On the Role of Inductive Bias in Time-Series Pretraining: A Case Study in Learning Generalizable Representations for Clinical Time Series A Fast and Generic Energy-Shifting Transformer for Hybrid Monte Carlo Radiotherapy Calculation ARBITER: Reasoning Trajectory Basins and Majority Vote Failures in Test-Time Sampling When Rule Violations Are Rare: Chimera Training for Logical Anomaly Detection The Constraint Tax: Measuring Validity-Correctness Tradeoffs in Structured Outputs for Small Language Models When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning Benchmarking Convolutional, Transformer, Hybrid, and Vision Language Models for Multi Disease Retinal Screening Rotation-Invariant Spherical Watermarking via Third-Order SO(3) Representation Coupling MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding

Dense Retrievalのためのテスト時計算：フローズンエンコーディングモデルによるエージェントプログラム生成

Han Xiao · 2026-05-13 · via cs.LG updates on arXiv.org

このコンテンツは慣性聚合(RSSリーダー)によって自動集約されています。参考としてご覧ください。原文出典 — 著作権は原著者に帰属します。