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Universal Adversarial Triggers

DGX agent

arXiv:2605.17936v1 Announce Type: new Abstract: Recent works have illustrated that modern NLP models trained for diverse tasks ranging from sentiment analysis to language generation succumb to univers

researcharxiv-cs-cl

19 May 2026

Model Releases

Universal Dynamics of Punctuated Progress

DGX agent

arXiv:2605.16719v1 Announce Type: cross Abstract: Scientific and technological frontiers advance through punctuated dynamics, yet the principles governing these dynamics remain poorly understood. Here

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Universal Adversarial Triggers

Universal Dynamics of Punctuated Progress

Universal Graph Backdoor Defense: A Feature-based Homophily Perspective

Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)

Universal Pose Pretraining for Generalizable Vision-Language-Action Policies

Universal Time-Series Representation Learning: A Survey

UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities

Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs

Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery

Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection

Unleashing Vision Transformer Potential In Image Quality Assessment via Global-Local Adaptive Interaction

Unlocking the Potential of Diffusion Language Models through Template Infilling

UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models

Unveiling Memorization-Generalization Coexistence: A Case Study on Arithmetic Tasks with Label Noise

Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning

Usenix'23 Extended Version: Smart Learning to Find Dumb Contracts

UST-Hand: An Uncertainty-aware Spatiotemporal Point Cloud Interaction Network for 3D Self-supervised Hand Pose Estimation

UTOPYA: A Multimodal Deep Learning Framework for Physics-Informed Anomaly Detection and Time-Series Prediction

UVTran: Accurate Hole-Filling Parameterization with Transformers

VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance

Validate Your Authority: Benchmarking LLMs on Multi-Label Precedent Treatment Classification

Variational Optimality of Follmer Processes in Generative Diffusions

Vector RAG vs LLM-Compiled Wiki: A Preregistered Comparison on a Small Multi-Domain Research

Velocity and stroke rate reconstruction of canoe sprint team boats based on panned and zoomed video recordings

Venom: A PyTorch Generative Modeling Toolkit

VeriCache: Turning Lossy KV Cache into Lossless LLM Inference

Verifier-Guided Code Translation via Meta-Step Decoding

Verify-Gated Completion as Admission Control in a Governed Multi-Agent Runtime: A Bounded Architecture Case Study

VerifyMAS: Hypothesis Verification for Failure Attribution in LLM Multi-Agent Systems

VeriHGN: Heterogeneous Graph-Based Congestion Prediction for Chip Layout Verification

VGGT-CD: Training-Free Robust Registration for 3D Change Detection

VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction

Video Reconstruction using Diffusion-based Image-to-Video Generation with Trajectory Guidance

VideoNeuMat: Neural Material Extraction from Generative Video Models

Vidya: An AI-Driven Modular Pipeline for Archival Automation and Semantic Metadata Enrichment

View-Aware Semantic Alignment for Aerial-Ground Person Re-Identification

Virtual Nodes Guided Dynamic Graph Neural Network for Brain Tumor Segmentation with Missing Modalities

Virtues of Ordered Chaos: Planning with Topple Actions in Tabletop Stack Rearrangement

VISAFF: Speaker-Centered Visual Affective Feature Learning for Emotion Recognition in Conversation

Vision Foundation Models as Generalist Tokenizers for Image Generation

Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models

Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation

Vision Transformer-Conditioned UNet for Domain-Adaptive Semantic Segmentation

VISTA-Bench: Do Vision-Language Models Really Understand Visualized Text as Well as Pure Text?

VISTA: Triplet-Supervised Video Style Transfer with Diffusion Transformers

VISTA: Variance-Gated Inter-Sequence Test-Time Adaptation for Multi-Sequence MRI Segmentation

Visual Agentic Memory: Enabling Online Long Video Understanding via Online Indexing, Hierarchical Memory, and Agentic Retrieval