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Safety

Rethinking the Rank Threshold for LoRA Fine-Tuning

DGX agent

arXiv:2605.03724v1 Announce Type: new Abstract: A recent landscape analysis of LoRA fine-tuning in the neural tangent kernel regime establishes a sufficient condition r(r+1)/2 > KN on the LoRA rank r

safetyarxiv-cs-lg

6 May 2026

Safety

RLDX-1 Technical Report

DGX agent

arXiv:2605.03269v1 Announce Type: cross Abstract: While Vision-Language-Action models (VLAs) have shown remarkable progress toward human-like generalist robotic policies through the versatile intellig

Search: “safety”

Rethinking the Rank Threshold for LoRA Fine-Tuning

RLDX-1 Technical Report

Sample-Efficient Optimization over Generative Priors via Coarse Learnability

SCION: Size-aware Policy Orchestration for Nonstationary Object Caches (Long Paper Version)

SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification

SigLoMa: Learning Open-World Quadrupedal Loco-Manipulation from Ego-Centric Vision

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution

SoDa2: Single-Stage Open-Set Domain Adaptation via Decoupled Alignment for Cross-Scene Hyperspectral Image Classification

Stream-R1: Reliability-Perplexity Aware Reward Distillation for Streaming Video Generation

Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges

T^2PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning

Talk is Cheap, Communication is Hard: Dynamic Grounding Failures and Repair in Multi-Agent Negotiation

TeamUp: Semantic Project Matching and Team Formation for Learning at Scale

The Design and Composition of Structural Causal Decision Processes

The Garden of Forking Paths: Narrative Arc-Conditioned Gameplay Planning

TRACE: A Metrologically-Grounded Engineering Framework for Trustworthy Agentic AI Systems in Operationally Critical Domains

Tracing Like a Clinician: Anatomy-Guided Spatial Priors for Cephalometric Landmark Detection

Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution

Uncertainty-Aware Trip Purpose Inference from GPS Trajectories via POI Semantic Zones and Pareto Calibration

Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks

Understanding Self-Supervised Learning via Latent Distribution Matching

Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective Recipe

When to Think, When to Speak: Learning Disclosure Policies for LLM Reasoning

Will the Carbon Border Adjustment Mechanism Impact European Electricity Prices? A GNN-Based Network Analysis

A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis

A Principled Approach for Creating High-fidelity Synthetic Demonstrations for Imitation Learning

A Theoretical Game of Attacks via Compositional Skills

A Theory of Generalization in Deep Learning

A Unified Multi-Dynamics Framework for Perception-Oriented Modeling in Tendon-Driven Continuum Robots

Adaptive Alarm Threshold Prediction in 4G Mobile Networks: A Percentile-Guided Deep Learning Framework with Interpretable Outputs

Adaptive GoGI-Skip: Coupling Goal-Gradient Importance with Dynamic Uncertainty for Efficient Reasoning

Adaptive Interpolation-Synthesis for Motion In-Betweening on Keyframe-Based Animation

Adaptive Pluralistic Alignment: A pipeline for dynamic artificial democracy

Adversarial Imitation Learning with General Function Approximation: Theoretical Analysis and Practical Algorithms

Agentic Learner with Grow-and-Refine Multimodal Semantic Memory

AI Alignment via Incentives and Correction

ALIGNS: Unlocking nomological networks in psychological measurement through a large language model

ANO: A Principled Approach to Robust Policy Optimization

Anomaly-Preference Image Generation

Anticipation-VLA: Solving Long-Horizon Embodied Tasks via Anticipation-based Subgoal Generation

ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring

Attention-Based Neural-Augmented Kalman Filter for Legged Robot State Estimation

Attention Sinks in Massively Multilingual Neural Machine Translation:Discovery, Analysis, and Mitigation

Autonomous Drift Learning in Data Streams: A Unified Perspective

Behavior-Grounded Lane Representation Learning for Multi-Task Traffic Digital Twins

Beyond Perceptual Shortcuts: Causal-Inspired Debiasing Optimization for Generalizable Video Reasoning in Lightweight MLLMs

Beyond Specialization: Robust Reinforcement Learning Navigation via Procedural Map Generators

Bi-Level Reinforcement Learning Control for an Underactuated Blimp via Center-of-Mass Reconfiguration