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Safety

Revisiting the shutdown problem

DGX agent

arXiv:2606.08296v1 Announce Type: new Abstract: A key premise in leading arguments for existential risk from artificial intelligence is that malfunctioning artificial agents could not be easily shut d

safetyarxiv-cs-ai

9 Jun 2026

Model Releases

Revisiting Training Scale: An Empirical Study of Token Count, Power Consumption, and Parameter Efficiency

DGX agent

All entries

Revisiting the shutdown problem

Revisiting Training Scale: An Empirical Study of Token Count, Power Consumption, and Parameter Efficiency

Reward Evolution with Graph-of-Thoughts: A Bi-Level Language Model Framework for Reinforcement Learning

Reward Shaping for (Inference-Time) Alignment: A Stackelberg Game Perspective

Rewrite to Translate, Translate to Reward: Reinforcement Learning for Source Rewriting in Machine Translation

RGB-S: Image-Aligned Tactile Saliency for Robust Dexterous Manipulation

ridiculous oversimplification, from a prominent OpenAI employee no less. does this capture your impression of how the two companies have beh…

RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Robot-DIFT: Correspondence-Sensitive Diffusion Features for Contact-Rich Robot Manipulation

Robust In-Context Reinforcement Learning Under Reward Poisoning Attacks

Robust Random Graph Matching in Dense Graphs via an Approximate Message Passing Type Algorithm

Robust Renal Mass Segmentation on CT: A Validation Study of an AI-Based Framework

Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding?

Rosetta Memory: Adaptive Memory for Cross-LLM Agents

Routine laboratory trajectories encode the onset of organ-level complications in cancer

RPO-PDT: Demonstrating Role-Play-Based Knowledge Adaptation for Student Support Dialogue (Demonstration System)

RT-SDGOD: Real-Time Single-Domain Generalized Object Detection

RTL-BenchLS: A Large-Scale Benchmark for RTL Reasoning and Generation with Large Language Models

Rubrik turns its platform into an AI agent and ships Agent Cloud for Claude

Rule-based autocorrection of Piping and Instrumentation Diagrams (P&IDs) on graphs

RunAgent SuperBrowser: A Theory of Autonomous Web Navigation Grounded in Human Browsing Behaviour

SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning

SAEExplainer: Interpreting SAE Features with Activation-Guided Preference Optimization

Safe, Fluent and Acceptable Motion Generation and Execution for Human--Robot Interaction in Manufacturing Environments

Safe Polytope-in-Polytope Motion Planning and Control with Control Barrier Functions

Safe-RULE: Safe Reinforcement UnLEarning

SafeECGMatch: Calibration-Aware Joint Frequency and Time Space Semi-Supervised Learning for Open-Set ECG Classification

SafeRun: Enabling Determinism in LLM Planning for Running

Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators

SAGE: An LLM-driven Self Reflective Agentic Framework for Fraud Detection

SAGE: Shape-Adapting Gated Experts for Adaptive Histopathology Image Segmentation

SailPoint shares fall despite earnings beat and raised guidance

SAILS: Surrogate-based Analysis of Interactions via Local Effect Smooths

Sample-Efficient LLM-Based Detection of Malicious Web Server Logs with Forensically Explainable Reasoning

Sample-Efficient Post-Training for LEGO Spatial-Physics Reasoning

SAW: Stage-Aware Dynamic Weighting for Multi-Objective Reinforcement Learning in Large Language Models

SC3: The Multi-Solvent Solubility Challenge and Benchmark

Scaffold Effects on GAIA: A Controlled Comparison

Scale Robot Reinforcement Learning with NVIDIA Isaac Lab on Amazon SageMaker AI

ScaleSweep: Accurate NVFP4 Post-Training Quantization of LLMs via Block Scale Initialization

Scaling by Diversified Experience for Vision-Language-Action Models

Scaling Decision-Focused Learning to Large Problems with Lagrangian Decomposition

Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics

Scaling Neural Network Verification with Tensor Parallelism and Fully Sharded Data Parallelism

Scaling Participation in Modular AI Systems

scCBGM: Interpretable Single-Cell Counterfactual Editing

SceneConductor: 3D Scene Generation from Single Image with Multi-Agent Orchestration