Interpretation, Learning, and Empathy as One Constraint: A Residual-Adequacy Architecture with Accountable Abstention - 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.AI updates on arXiv.org

Teaching Through Analogies: A Modular Pipeline for Educational Analogy Generation Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models Guarded Repair for Harm-Aware Post-hoc Replacement of LLM Mathematical Reasoning Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion Batch Normalization Amplifies Memorization and Privacy Risks Treatment Effect Estimation with Differentiated Networked Effect on Graph Data Overcoming "Physics Shock" in Earth Observation A Heteroscedastic Uncertainty Framework for PINN-based Flood Inference Geo-Expert: Towards Expert-Level Geological Reasoning via Parameter-Efficient Fine-Tuning TGFormer: Towards Temporal Graph Transformer with Auto-Correlation Mechanism A Large-Scale Dataset and Benchmark: Do Protein-Ligand Models Learn Binding Sites or Just Binding Likelihood? Leveraging Gauge Freedom for Learning Non-Gradient Population Dynamics of Stochastic Systems LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation Who judges the judges? Governance from metrics: a runtime framework for continuous LLM compliance monitoring Verified SHAP: Provable Bounds for Exact Shapley Values of Neural Networks When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure Selective Test-Time Compute Scaling for Click-Through Rate Prediction via Uncertainty-Triggered Feature Path Exploration Cascade-KDE: Robust Time-Series Restoration under Out-of-Distribution Impulse Corruptions Why We Need World Models for AGI: Where LLMs Fail and How World Models May Outperform Spectral Probe-Circuits: A Three-Step Recipe for Identifying Attention-Head Circuits in Pretrained Transformers Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward Decomposition Exploration of Perceptual Speech Features for Clinical Decision-Support in Mental Health Care Momentum Streams for Optimizer-Inspired Transformers Rethinking Federated Unlearning via the Lens of Memorization Filtered Posterior Mean Collections: A Unified Framework for Analytical Models of Diffusion Generalization When Reasoning Hurts: Source-Aware Evaluation of Frontier LLMs for Clinical SOAP Note Generation Grammatically-Guided Sparse Attention for Efficient and Interpretable Transformers Knowledge Graph Modulated Deep Learning for Limited-Sample Clinical Data Analysis Towards a Universal Causal Reasoner Raon-Speech Technical Report Machine Psychometrics: A Mathematical Psychology of Artificial Intelligence Explainable Retinal Imaging for Prediction of Multi-Organ Dysfunction in Type 2 Diabetes Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection OSDTW: Optimal Shared Depth and Task Weighting for Long-Tailed Recognition Learning to Reason Efficiently with A* Post-Training Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Student Reasoning Hypothesis Generation and Inductive Inference in Children and Language Models Agent-ToM: Learning to Monitor Autonomous LLM Agents via Theory-of-Mind Reasoning Measuring the Depth of LLM Unlearning via Activation Patching Fundamental Limitation in Explaining AI The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models Feature Lottery? A Bifurcation Theory of Concept Emergence Spectral Retrieval: Multi-Scale Sinc Convolution over Token Embeddings for Localized Retrieval in LLM Multi-Agent Systems Beyond the Aggregation Dilemma: Prior-Retaining Decoupled Learning for Multimodal Graphs Extracting Training Data from Diffusion Language Models via Infilling Scale When Needed: Adaptive Neuron-level Mixed Precision Quantization Aware Training ChaosBench-Logic v2: Evaluating LLM Logical Reasoning over Dynamical Systems at Scale An Interactive Paradigm for Deep Research Bilevel Optimization of Synthetic Trajectories for Multi-Turn LLM Fine-Tuning Disentangled Double Machine Learning for Accurate Causal Effect Estimation Improving Labeling Consistency with Detailed Constitutional Definitions and AI-Driven Evaluation Side-by-side Comparison Amplifies Dialect Bias in Language Models LAPLEX: The FFT of Learnable Laplace Kernels Mixture of Complementary Agents for Robust LLM Ensemble Generative OOD-regularized Model-based Policy Optimization PILOT: Policy-Informed Learned Optimization for Adaptive Deep Network Training Assessing the Operational Viability of Foundation Models for Time Series Forecasting Federated Learning over Human-Body Communication for On-Body Edge Intelligence: A Survey, Taxonomy, and BODYFED-HBC Scheduling Vignette SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate Networks SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack Riemannian-Manifold Steering: Geometry-Aware Generative Autoencoders for Label-Free Steering The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth Hidden-State Privacy Has an Empty Middle RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges GL-LFGNN:A Global-Local Dual-branch Causal Graph Neural Network Based on Liang-Kleeman Information Flow for EEG Emotion Recognition On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models Quaternion Self-Attention with Shared Scores TriVAL: A Tri-Validation Framework for Faithful Automatic Optimization Modeling Context: Proactive Goal-Directed Intelligence via Composable Sandboxed Programs, Declarative Wiring, and Structured Interaction Residual Drift Dominates Contradiction in Multi-Turn Constraint Reasoning Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security Automated Detection and Classification of Delusion-related Content in Naturalistic Audio Diaries Using Multi-Agent Language Models Not All Transitions Matter: Evidence from PPO Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework Signs Beat Floats: Low-Rank Double-Binary Adaptation for On-Device Fine-Tuning Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion Jailbreak to Protect: Buffering and Reinforcing via Temporary Jailbreaking for Safe Fine-Tuning in Large Language Models Truthful Online Preference Aggregation for LLM Fine-Tuning in Mobile Crowdsourcing AgentFugue: Agent Scaling for Long-Horizon Tasks through Collective Reasoning PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection World-State Transformations for Neuro-symbolic Interactive Storytelling Investigating the Interplay between Contextual and Parametric Chain-of-Thought Faithfulness under Optimization TS-Skill: A Benchmark for Evaluating Analytical Skills in Time-Series Question Answering EchoDistill:Alignment Noisy-to-Clean Self-Distillation for Robust Audio LLMs Complement Submodular Information Measures for Balanced and Robust Data Selection Temporal Concept Drift in Legal Judgment Prediction: Neural Baselines Across Three Epochs of Ukrainian Court Decisions Balancing Fairness, Privacy, and Accuracy: A Multitask Adversarial Framework for Centralized Data-Driven Systems Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs GlobalDentBench: A Multinational Benchmark for Evaluating LLM Clinical Reasoning in Dentistry with Expert Calibration Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMs CONF-KV: Confidence-Aware KV Cache Eviction with Mixed-Precision Storage for Long-Horizon LLM Document Classification Pattern Recognition via Information Fusion: A Systematic Review of Multimodal and Multiview Representation Approaches Polymorphism Is Rotation: Operational Mechanistic Interpretability from a Two-Layer Transformer to Pythia-70m Multi-Agent Specification-based Metamorphic Testing of FMU-Based Simulations Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting

Interpretation, Learning, and Empathy as One Constraint: A Residual-Adequacy Architecture with Accountable Abstention

Chainarong A · 2026-05-26 · via cs.AI 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。