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Safety

Wall-OSS-0.5 Technical Report

DGX agent

arXiv:2605.30877v1 Announce Type: new Abstract: Large-scale Vision-Language-Action (VLA) pretraining is increasingly adopted as the foundation for robot policies, yet the evidence for pretrained VLAs

safetyarxiv-cs-ro

1 Jun 2026

Research

What is Missing? Explaining Neurons Activated by Absent Concepts

DGX agent

arXiv:2603.09787v2 Announce Type: replace Abstract: Explainable artificial intelligence (XAI) aims to provide human-interpretable insights into the behavior of deep neural networks (DNNs), typically b

Search: “models”

Wall-OSS-0.5 Technical Report

What is Missing? Explaining Neurons Activated by Absent Concepts

Wind Turbine Maintenance Log Labelling Framework: LLM-Driven Data Correction and Enrichment via Semantic Extraction of Reliability Intelligence

A Fully Convolutional Approach to Denoising Structural Dynamics Data from X-Ray Photon Correlation Spectroscopy

Assessing Dutch Syllabification Algorithms and Improving Accuracy by Combining Phonetic and Orthographic Information through Deep Learning

Behavior-Aware Auxiliary Corrections for Off-Policy Temporal-Difference Prediction

Beyond Consensus: Trace-Level Synthesis in Mixture of Agents

Bosses, Kings, and the Commons: Cooperation Under Power Asymmetry in LLM Societies

CapTalk: Text-Guided Stylization and Speech-Driven 3D Head Animation

Computationally Efficient Replicable Learning of Parities and Applications

CRITIC-R1: Learning Structured Critics for Retrieval-Augmented Generation

Cycle Consistency in Video Object-Centric Learning

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction

Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure

E-valuator: Reliable Agent Verifiers with Sequential Hypothesis Testing

Early Detection of Misinformation for Infodemic Management: A Domain Adaptation Approach

Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets

Enhancing LLM Training via Spectral Clipping

EXACT-MPPI: Exact Signed-Distance Navigation for Arbitrary-Footprint Robots from Point Clouds via Path Integral Control

Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Non-Conservative Forces

Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language

Financially Guided Deep Portfolio Optimization

Follow Everything: A Leader-Following and Obstacle Avoidance Framework with Goal-Aware Adaptation

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning

From Prompts to Context: An Ontology-Driven Framework for Human-Generative AI Collaboration

From Short Histories to Long Futures: Horizon-Aware Graph Neural Networks for Long Horizon Forecasting

Future Forcing: Future-aware Training-free KV Cache Policy for Autoregressive Video Generation

Gaga: Group Any Gaussians via 3D-aware Memory Bank

Inspectorch: Efficient rare event exploration in solar observations

Leave a Window Out: Modifying the Jackknife for Predictive Inference in Time Series

MARS Policy: Multimodality Only When It Matters

MATANet: A Multi-context Attention and Taxonomy-Aware Network for Fine-Grained Underwater Recognition of Marine Species

MoLe-{Lambda}: Learning the Coupled-Cluster Response State for Energies, Gradients, and Properties

Neural Networks and (Virtual) Extended Formulations

Noise-Aware Differentially Private Variational Inference

On the Optimizer Dependence of Neural Scaling Laws

PhyGenHOI: Physically-Aware 4D Generation of Dynamic Human-Object Interactions

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM

Prediction-Powered Inference Across Many Tasks for AI Evaluation & Social Science Research

PROTOCOL: Late Interaction Retrieval for Protein Homolog Search

Quantum-Enhanced Adversarial Robustness in Artificial Intelligence

Reasoning about Reasoning: BAPO Bounds on Chain-of-Thought Token Complexity in LLMs

Reinforcement Learning with Robust Rubric Rewards

Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases

Robust and Efficient Writer-Independent IMU-Based Handwriting Recognition

Robust Frequency-Calibrated Virtual EEG Channel Generation from Four Frontal Electrodes for Wearable EEG Augmentation

SADA: Safe and Adaptive Aggregation of Multiple Black-Box Predictions in Semi-Supervised Learning

SchGen: PCB Schematic Generation with Semantic-Grounded Code Representations