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Safety

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Predicting Space Groups of Double Perovskites by LLM with Dynamic Few-Shot Learning Efficient Hypergradient Descent for Inverse Reinforcement Learning APCReg: Anatomical-Prior-Guided Coarse-to-Fine CBCT--IOS Registration via Multi-View Projection and Reliability-Controlled Residual Correction Mitigating Bus Bunching with Reinforcement Learning Enhanced by Semantic Stop Embedding Hidden in Plain Sight: Diffusion-Based Unrestricted Robotic Attacks on Vision-Language-Action Models Templated or fully Synthetic? Prompt construction as a confound in measuring LLM political stance beyond writing assistance Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Rethinking Data Efficiency in Industrial Dense Prediction: Pretraining Coherence, Not Inductive Bias, Determines ViTs Low-Data Advantage SPOTting the Future: Lookahead Explanations for Deep Reinforcement Learning Threat-guided Policy-aware Scene Perturbation for Safe Autonomous Driving with Online Reinforcement Learning SafeCap: Improving LVLM Safety with Image Captioning Reinforcement Learning UPAIR: Diagnosing Reasoning States via Uncertainty-Progress Alignment for Selective Intervention Dual-Loop Self-Evolution via Verifiable Emotion Feedback for Multi-Turn Empathetic Dialogue SBCO: Self-Supervised, Verifier-Grounded Harness Optimization For Planning Agents Policy Convergence and Divergence Across National and Within Regional AI Strategies: A Policy Design Element Analysis The Parser Already Knows: Lightweight Bias Correction in Constrained Decoding Dreamer-SAC: Off-Policy Learning in Latent World Models for Sample-Efficient Autonomous Driving Enhancing Automated Essay Scoring With Three Techniques: Two-Stage Fine-Tuning, Score Alignment, and Self-Training Critic-Free Pretraining for Efficient Online Reinforcement Learning Fine-Tuning Surgical WAM: A World-Action Model for Data-Efficient Surgical Robot Learning ELMER: Evolutionary Language Model that Explores and Refines Convergence of Sign-based Random Reshuffling Algorithms for Nonconvex Optimization Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach Do AI weather models miss extremes?Multiplayer Nash Preference Optimization OpenAI VP of Global Policy Ann O'Leary says AI policy in the US is anchored in the states and informed by California's AI transparency law passed in 2025 (Chase DiFeliciantonio/Politico)IADD-TR: Intervention-Aware Dynamics Decoupling with Targeted Regularization for Model-Based Reinforcement Learning Most biomedical publications show signs of LLM-assisted writing TCAM for Autonomous Deformable Manipulation: The RMC2 Champion System for WBCD 2026 Track 4 What We Know about Responsible AI Practices in Industry: A Half Decade of Empirical Research Status Association Does Not Reliably Predict Decision Leakage Actions Speak Louder than Words: Measuring Cross-Lingual Policy Retention in Tool-Using Agents MIDAS: Mutual Information Disentanglement with Uncertainty-Aware Fusion for Incomplete Multimodal Sentiment Analysis A Joint-Distribution Route to Fair Representations with Continuous Sensitive Attributes Dual Stress: Runtime Safety Monitoring for Safety-Constrained MPC Navigation Toward a Theory of Value in AI Alignment A Neural Network Based Teleoperation for Remote Controlled Vehicles ConfTriage: A Calibration-Aware LLM Triage Framework for Pulmonary Nodule Malignancy with Selective Specialist Deferral ConRub-Med: Reinforcement Learning with Consensus Rubrics for Open-Ended Medical Question Answering Never Stop Speaking: a Denial-of-Service Attack on End-to-End Speech Language Models AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss Similarity Gates Approve Reversals: A Validity Audit of Embedding-Cosine Thresholds in Agent Systems LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3 LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations The Impact of Operational-Data Fidelity when Assessing Safety-Critical Autonomous-Vehicle Software Towards Color-Faithful Low-Light Image Enhancement via Adaptive Color Debiasing and Saturation Rectification Topological Feasibility Guarantees for Differentiable Predictive Control Dual Space Preconditioning for Gradient Descent in the Overparameterized Regime Physics-Informed Machine Learning in Prognostics and Health Management: A Systematic Literature Review FedCGR: Federated Cross-Domain Generative Recommendation Your LLM, Your Style: Behavioral Mode Axes for LLM Behavioral Control Selective Prediction Reduces the Negative Effects of Automation Bias Overall but Increases False Negatives CARE: Confidence-Aware Reasoning for Reliable Medical VQA Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models Operationalising Relative Causal Knowledge: Backbone Identifiability from Private Reports on a Shared Outcome ReOrder-OPD:Reliability-Aware Prompt Ordering for On-Policy Distillation CRHT: A Continuous Regression Hybrid Transformer for Vessel Trajectory Prediction with Online Cluster Sampling What DINO saw: ALiBi positional encoding reduces positional bias in Vision Transformers Robust Sliding Mode and Admittance Control of Underactuated Aerial Manipulators for Contact-Based Inspection Pair-Centric Graph Rewiring for Over-Squashing via Optimal Transport-Guided Communication Alignment SapiensID 2.0: Aligning Human Recognition Foundation Models with Human Perception Scheduling Mixed RL Rollouts Beyond Prefix Locality ProbGuard: Calibrated Safety Risk Estimation from LLM Output Distributions Automated Data Enrichment using Confidence-Aware Fine-Grained Debate among Open-Source LLMs for Mental Health and Online Safety IO Factory: Simulating AI-Enabled Influence Campaigns at Scale Procedural Fairness Failures in RLHF from Preference Averaging Partially Observable Learning for Multi-Platform Dispatch Optimization FoR-SALE: Frame of Reference-guided Spatial Adjustment in LLM-based Diffusion Editing Hip Energized Monopedal Hopping VIDS-Seg: Towards Reliable Uncertainty Quantification in Pediatric Cardiac Ultrasound Segmentation OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robotic Manipulation Observational Policy Ranking for SMB Financial Guidance from Multi-Action Accounting Logs MERA: Model Evolution and Routing with Skill Adaptation for Agentic Systems at Scale Robust Safety Filtering for Input-Constrained Underactuated Linear Systems Hierarchical Empirical-Bayes Naive Bayes: Minimax Smoothing and Calibration with AODE Extension Do Time-Series Forecasters Use the Right History: Recoverability, Recovery, and Functional Use of Temporal Delays Data Attribution of Emergent Misalignment with Persona Features MarkNull: Model-Agnostic Watermark Removal in AI-Generated Images via On-Manifold Latent Manipulation XCoT-VLA: Executable Chain-of-Thought for Vision-Language-Action Driving TRACE-GS: On-Policy Trajectory Distillation with Privileged Geometric Conditioning for Sparse-View 3DGS Restoration How to Verify Consistency of Probabilistic Claims Carefully Considering Culture: Analyzing LLM Alignment in Single- and Multi-Cultural Settings using Cultural Consensus Theory A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Stay or Stray - A Dynamical Systems Viewpoint of Popularity Bias From Prediction to Incrementality: Causal Optimization for Large-Scale Targeting and Recommendation Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Smart Enough to Go Extinct? An Evolutionary Challenge to the Value of General Intelligence and Its Ethical Implications for AGI Learning in ImaginationLand: Omnidirectional Policies through 3D Generative Models (OP-Gen)UniMod: Enhancing Multi-Modal Medical Diagnosis through Cross-Modality and Within-Modality Alignment