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Search: “framework”

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Safety

Acceptable Misalignment

DGX agent

arXiv:2610.16881v1 Announce Type: cross Abstract: There is a specific challenge designers face in developing autonomous robots capable of open-ended learning. This challenge is how one can develop suc

safetyarxiv-cs-ro

14 Oct 2026

Safety

ACCRUE: Continual Off-Policy Reinforcement Learning for Robot Foundation Models

DGX agent

arXiv:2610.18596v1 Announce Type: cross Abstract: Reinforcement learning (RL) post-training improves robot foundation models (RFMs) beyond their demonstrations, but real-world deployment demands more:

Search: “framework”

Acceptable Misalignment

ACCRUE: Continual Off-Policy Reinforcement Learning for Robot Foundation Models

ACED: Reference-Anchored Aggregation of Natural-Language and Executable Evidence for Mathematical Reasoning

Act4R: Action-conditioned 4D reconstruction for kinematics-free control

AD-GS: Anatomical Density-guided 3D Gaussian Splatting for Sparse-View Dental CBCT Reconstruction

AdaGamma: State-Dependent Discounting for Temporal Adaptation in Reinforcement Learning

Adaptive Interaction Network for Human Motion Prediction During Human-Robot Collaboration

Adaptive Look, Flexible Thought: Learning How and How Long to Think in Multimodal Reasoning

Adversarial Gradient Forcing for Robust Few-Step Autoregressive Video Generation

AeroChem: Closed-loop Physics-Informed State Space Modeling for Long-term Chemically-Reactive Air Quality Forecasting--Extended Version

Agentic Data Engineering for LLMs: System Design and a Controlled Empirical Study

Agentic Robot Creation through Generation, Verification, and Revision

Agentic4PDM: Host-Governed Evidence Admissibility for Industrial Fault Diagnosis

AIRRI: Towards a Human-Readable, Machine-Resistant Reading Interface

Akule: Fast and Scalable Multi-Robot Motion Planning via Sparse Interaction Diffusion

ALIVE-LIO: Degeneracy-Aware Learning of Inertial Velocity for Enhancing ESKF-Based LiDAR-Inertial Odometry

AlphaPilot: Multi-Turn Tool-Using LLM Agents for Adaptive Alpha Mining with Reinforcement Learning

AlphaRLM: Aligning Language Models for Literature-Grounded Symbolic Factor Discovery

Amortised adaptive importance sampling

Amortized Variational Inference of Latent Intensities from Replicated Point Patterns

Anchors Enhance Controllability and Reasoning of Diffusion Language Models

Anomaly-Guided Observation and Two-Level Semantic Feedback for Training-Free Video Anomaly Analysis

ANTE: Anticipate, Then Execute -- Learning Internal World Models for Coding Agents from Verified Beliefs

APT: Feedback-Driven Agentic Post-Training for Text-to-Image Generation

APTree: Extended Behavior Trees for Adaptive and Scalable Automated Robotic Task Planning in Construction

Articulated 3D Scene Graphs for Open-World Mobile Manipulation

AttenIR: Aligning Dense Visual Attention with Mesh Warping for Unsupervised Image Retargeting

Attribute-Centric Vision-Language Alignment for Fine-Grained Gait Understanding

Auditing Observation-Quality Shortcuts in the Evaluation of Person-Centered Motion for Video Anomaly Detection

AutoAgent0: An Agentic Runtime for Safe Closed-Loop Driving

Automated carotid artery atherosclerotic inflammation segmentation in PET using MSR-Net

Autoregressive Decoding as a Martingale: Characterizing the Stochastic Dynamics of LLM Generation

BandPC: Learning Residual-Band Preconditioner Combinations for Flexible Conjugate Gradient Solvers

Banger paper from Stanford, Together AI, and colleagues. Why is this an interesting paper? Today's LLM agents must write out every reasoning…

BARTER: Compact Dynamic Sparse Training with Standard Dense Kernels

BaT-SAM: Introducing Inductive Bias into SAM via a Mixture of Convolutional Experts for Brain Tumor Segmentation

Bayesian Optimization under Uncertainty for Training a Scale Parameter in Stochastic Models

Before We Act: Learning Action-Conditioned Team-Response Beliefs for Decentralized Multi-Robot Manipulation

Behavioural self-monitoring for autonomous earth observation agents: The attribute reliability monitor (ARM)

BELT : BEhavior-Aligned Low-Rank KV Cache Compression with Learned Top-k Rank Allocation

Benchmarking Interaction-Oriented Aerial Mobility across Heterogeneous Environments

Benchmarks Are Not Atomic: Composition-Aware LLM Evaluation using BenchHub

Beyond Fixed Visual History: Learning Motion-Adaptive Temporal Receptive Fields for Complex-Terrain Quadruped Locomotion

Beyond Heatmaps: Unsupervised Concept-Graph Reasoning for Interpretable Visual Explanation

Beyond RMSE and Granger Gain: Multi-Horizon Forecast-Error Entropy for Nonlinear Predictive Coupling

Beyond Safe Execution: Safe Online Reinforcement Learning for Autonomous Driving with Value Calibration and Adaptive Guidance

Beyond Single-Pathogen Forecasts: Predicting Shared Respiratory Hospital Burden from Influenza, COVID-19, and RSV

BGC-Nav: Cross-Altitude Multi-UAV Collaborative Navigation via Belief-Guided Coupling