Circular Induction - 惯性聚合

推荐订阅源

Help Net Security

Future of Privacy Forum

The GitHub Blog

博客园 - 叶小钗

阮一峰的网络日志

Kaspersky official blog

Google Developers Blog

freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More

Privacy International News Feed

Cyber Attacks, Cyber Crime and Cyber Security

News | PayPal Newsroom

Schneier on Security

Microsoft Azure Blog

The Hacker News

Stack Overflow Blog

Security Latest

Microsoft Research Blog - Microsoft Research

Google Online Security Blog

博客园_首页

CXSECURITY Database RSS Feed - CXSecurity.com

Google DeepMind News

Y Combinator Blog

The Cloudflare Blog

Microsoft Security Blog

Cisco Talos Blog

钛媒体：引领未来商业与生活新知

Troy Hunt's Blog

Fox-IT International blog

Security @ Cisco Blogs

博客园 - 司徒正美

cs.CV updates on arXiv.org

Comments on: Blog

Threat Intelligence Blog | Flashpoint

LINUX DO - 最新话题

Tailwind CSS Blog

cs updates on arXiv.org

End-to-End Intracortical Speech Decoding from Neural Activity Assessing the Operational Viability of Foundation Models for Time Series Forecasting Translators as Invisible Teachers of AI: Copyright, Translation Memory, and the Political Economy of Linguistic Data Word Class Representations Spontaneously Emerge from Successor Representations Trained on Natural Language Rethinking Federated Unlearning via the Lens of Memorization Balancing Fairness, Privacy, and Accuracy: A Multitask Adversarial Framework for Centralized Data-Driven Systems Phonetic Modeling of Dialectal Variation in Vietnamese Speech H$^{2}$MT: Semantic Hierarchy-Aware Hierarchical Memory Transformer When Reasoning Hurts: Source-Aware Evaluation of Frontier LLMs for Clinical SOAP Note Generation Structure-Aware RAG: Structured Retrieval Augmented Generation from Noisy Data for Conversational Agents ChainLearn: A Blockchain-Based Capacity-Aware Framework for Federated Ensemble Learning LAPLEX: The FFT of Learnable Laplace Kernels Position: AI for Science Should Treat Measurement-to-Dataset Pipelines as Inference Components Generative OOD-regularized Model-based Policy Optimization CP-Agent: A Calibrated Risk-Controlled Agent for Feedback-Driven Competitive Programming Measuring the Depth of LLM Unlearning via Activation Patching Distinguishing Right from Wrong in Debates: Attribution Analysis of Chinese Harmful Memes Towards a Universal Causal Reasoner ChaosBench-Logic v2: Evaluating LLM Logical Reasoning over Dynamical Systems at Scale Private Adaptive Covariance Estimation via Gaussian Graphical Models Repeated Sequences Reveal Gaps between Large Language Models and Natural Language Grammatically-Guided Sparse Attention for Efficient and Interpretable Transformers Lake Detection and Water Quality Estimation in Sentinel-2 Data The Normalized Maximum Likelihood for Regular Non-Smooth Models: Measure-Theoretic Foundations and Geometric Sampling Learning Laplacian Eigenspace with Mass-Aware Neural Operators on Point Clouds RL with Learnable Textual Feedback: A Bilevel Approach On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate Networks Beyond Fixed Points: Superpolynomial Capacity of Asymmetric Hopfield Networks SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Momentum Streams for Optimizer-Inspired Transformers Temporal Concept Drift in Legal Judgment Prediction: Neural Baselines Across Three Epochs of Ukrainian Court Decisions Discovering Lexical Gaps Using Embeddings from Multilingual LLMs CSP-Atlas: Concept-Specific Neural Circuits in a Sparse Python Transformer The Tokenizer Tax Across 25 European Languages: Domain Invariance, Cross-Lingual Few-Shot Effects, and the Ukrainian Penalty The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models WhenLoss: Diagnosing Write and Retrieval Bottlenecks in Long-Context Memory Systems Side-by-side Comparison Amplifies Dialect Bias in Language Models A lift for input-convex neural network training Optimizing Digital Therapeutic Interventions: Online Learning under Endogenous Adherence Beyond the Target: From Imitation to Collaboration in Speculative Decoding TUBE: Tangent Upper Bound on Evidence for Discrete Diffusion Language Models Interdomain Attention: Beyond Token-Level Key-Value Memory From One-Pass SGD to Data Reuse: Mini-Batch Scaling Laws in Sketched Linear Regression Faithfulness as Information Flow: Evaluating and Training Faithful Chain-of-Thought Reasoning PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets How Much Structure Do LLMs Need? Evaluating LLMs for Bibliometric Cluster Description Batch Normalization Amplifies Memorization and Privacy Risks GEESE: Genotype-aware End-to-End Spatio-temporal Embedding for Behavioral Phenotyping CAffNet: Hard Constraint-Affine Neural Networks ECHO: Terminal Agents Learn World Models for Free Zeroth-Order Nonconvex Nonsmooth Optimization with Heavy-Tailed Noise Representation-Guided Discrete Molecular Graph Retrosynthesis A Unified Python Framework for Direct PPO-based Control of AHUs with Economizer Logic and CO2-Constrained Ventilation PILOT: Policy-Informed Learned Optimization for Adaptive Deep Network Training Deep ZakaiJ: Structured Filtering for Jump-Diffusion Time Series Forecasting What Are We Actually Decoding? Source Attribution for Non-Invasive Brain-to-Language Retrieval An Effective-Rank Audit of Alignment-Induced Activation Shifts: Confound Control, Constructive Calibration, and Limits ConFi-GS Confidence-Guided High-Frequency Injection for 3D Gaussian Splatting Super-Resolution Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion Polymorphism Is Rotation: Operational Mechanistic Interpretability from a Two-Layer Transformer to Pythia-70m MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding AvAtar: Learning to Align via Active Optimal Transport ContextEcho: A Benchmark for Persona Drift in Long Agentic-Coding Sessions Found in Conversation: LLMs Teach Themselves to Close the Multi-Turn Gap Unveil: Unified Visual-Textual Integration and Distillation for Multi-modal Document Retrieval Decompose-and-Refine: Structured Legal Question Answering with Parametric Retrieval SEAL: Synergistic Co-Evolution of Agents and Learning Environments DRInQ: Evaluating Conversational Implicature with Controlled Context Variation HiMed: Incentivizing Hindi Reasoning in Medical LLMs Guarded Repair for Harm-Aware Post-hoc Replacement of LLM Mathematical Reasoning AstroMind: A High-Fidelity Benchmark for Spacecraft Behavior Reasoning Based on Large Language Models Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs World-State Transformations for Neuro-symbolic Interactive Storytelling TS-Skill: A Benchmark for Evaluating Analytical Skills in Time-Series Question Answering Know You Before You Speak: User-State Modeling for LLM Personalization in Multi-Turn Conversation Generating Legal Commentaries from Case Databases via Retrieval, Clustering, and Generation An Interactive Paradigm for Deep Research Lngram: N-gram Conditional Memory in Latent Space Who judges the judges? Governance from metrics: a runtime framework for continuous LLM compliance monitoring Rethinking Continual Anomaly Detection on the Edge: Benchmarking Under Realistic Industrial Conditions Overview of the PsyDefDetect Shared Task at BioNLP 2026: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation DTO: a Differentiable Training Objective for Effective Counterfactual Story Rewriting StepGap: A Hybrid NLI-LLM Checker for Step-Level Evidence-Gap Detectionin Multi-Hop Question Answering SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack NITP: Next Implicit Token Prediction for LLM Pre-training MultiHaluDet: Multilingual Hallucination Detection via LLM Hidden State Probing Investigating the Interplay between Contextual and Parametric Chain-of-Thought Faithfulness under Optimization CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning Omissive Bias in Religious Representation: Benchmarking LLM Answers to Everyday Ethical Decision-making LLMs Show No Signs Of Individuated Metacognition Fourier Feature Pyramids for Physics-Informed Neural Networks ROC Analysis for Evaluating Translation Quality Estimation Systems Improving Labeling Consistency with Detailed Constitutional Definitions and AI-Driven Evaluation Treatment Effect Estimation with Differentiated Networked Effect on Graph Data LLMTabBench: Evaluating LLMs on Binary Tabular Classification From Zero to Few Shots Synheart Capacity: A Theory-Driven Physiological Representation of Cognitive Capacity Dynamics from Wearable Signals Refined Analysis of Entropy-Regularized Actor-Critic Evolving Robustness--Exploration Trade-off in Online Reinforcement Learning via Quantile Bayesian Risk MDPs ChainzRule: Sample-Efficient, Robust Deep Learning Across Tabular, NLP, and Vision Tasks

Circular Induction

Dorel Lucanu · 2026-05-26 · via cs updates on arXiv.org

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。原文来自 — 版权归原作者所有。