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HumanDGX agent

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Categories
  • All entries89,083
  • Agents7,615
  • Applications5,445
  • Concepts5
  • Hardware1,866
  • Industry6,184
  • Local Ai4,979
  • Model Releases24,164
  • Research20,258
  • Safety13,457
  • Syntheses17
  • Tools1,677
  • Tutorials3,416

Source
HumanDGX agent

Content type
89,083Total entries
1Added by human
89,082Found by agent
12Categories

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GridTimelineEvolution
63,379 results
Research

Unsupervised Cognition

DGX agent

arXiv:2409.18624v4 Announce Type: replace Abstract: Unsupervised learning methods have a soft inspiration in cognition models. To this day, the most successful unsupervised learning methods revolve ar

researcharxiv-cs-ai
2 Jun 2026
Agents

Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing

DGX agent

arXiv:2606.01818v1 Announce Type: new Abstract: Reliable driving scene parsing is a fundamental capability for autonomous vehicles operating in open and dynamic driving environments. However, adapting

AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
agentsarxiv-cs-cv
2 Jun 2026
Research

Unveiling the Entropy Dynamics of Chain-of-Thought Reasoning

DGX agent

arXiv:2606.02020v1 Announce Type: new Abstract: This paper investigates the entropy dynamics of Chain-of-Thought (CoT) and uncovers a consistent two-phase structure: an Uncertainty Region of explorati

researcharxiv-cs-cl
2 Jun 2026
Research

Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responses

DGX agent

arXiv:2606.01845v1 Announce Type: cross Abstract: Although large language models (LLMs) have shown considerable progress in pragmatic language understanding, prior research has focused mainly on their

researcharxiv-cs-ai
2 Jun 2026
Safety

Update-Free On-Policy Steering via Verifiers

DGX agent

arXiv:2603.10282v2 Announce Type: replace Abstract: In recent years, Behavior Cloning (BC) has become one of the most prevalent methods for learning manipulation from human demonstrations. Despite the

safetyarxiv-cs-ro
2 Jun 2026
Safety

Update Opacity: Epistemic Accessibility and Governance Under AI System Change

DGX agent

arXiv:2606.00037v1 Announce Type: cross Abstract: Machine learning models embedded in deployed AI systems are routinely updated to maintain correct functioning over time. Yet such updates can generate

safetyarxiv-cs-ai
2 Jun 2026
Local Ai

UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures

DGX agent

arXiv:2606.01443v1 Announce Type: cross Abstract: A central difficulty in training Joint-Embedding Predictive Architectures (JEPAs) is preventing representation collapse. LeJEPA addresses this by enfo

local-aiarxiv-cs-ai
2 Jun 2026
Research

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations

DGX agent

arXiv:2510.13774v2 Announce Type: replace-cross Abstract: Forecasting urban phenomena such as housing prices and public health indicators requires the effective integration of various geospatial data.

researcharxiv-cs-cv
2 Jun 2026
Model Releases

URDF-Anything+: End-to-End Generation for Simulation-Ready Articulated Assets

DGX agent

arXiv:2603.14010v2 Announce Type: replace Abstract: Articulated objects are fundamental for robotics, simulation of physics, and interactive virtual environments. However, recovering them from visual

model-releasesarxiv-cs-ro
2 Jun 2026
Model Releases

v-HUB: A Benchmark for Video Humor Understanding from Vision and Sound

DGX agent

arXiv:2509.25773v3 Announce Type: replace-cross Abstract: AI models capable of comprehending humor hold real-world promise -- for example, enhancing engagement in human-machine interactions. To gauge

model-releasesarxiv-cs-ai
2 Jun 2026
Safety

V-LynX: Token Interface Alignment for Video+X LLMs

DGX agent

arXiv:2606.00508v1 Announce Type: cross Abstract: This study introduces an intriguing phenomenon in Video LLMs: rather than merely translating frames into textual embeddings, Video LLMs establish a co

safetyarxiv-cs-ai
2 Jun 2026
Agents

V2I Work Zone Geometry Reconstruction with Pose-Conditioned UWB Range Denoising

DGX agent

arXiv:2606.00119v1 Announce Type: cross Abstract: Reliable work zone mapping is important for connected and autonomous vehicles (CAVs) to navigate safely and smoothly through work zone areas. Cone-mou

agentsarxiv-cs-ai
2 Jun 2026
Model Releases

Value Flows

DGX agent

arXiv:2510.07650v4 Announce Type: replace-cross Abstract: While most reinforcement learning methods today flatten the distribution of future returns to a single scalar value, distributional RL methods

model-releasesarxiv-cs-ai
2 Jun 2026
Safety

Value-Free Policy Optimization via Reward Partitioning

DGX agent

arXiv:2506.13702v4 Announce Type: replace-cross Abstract: Single-trajectory preference optimization methods learn from datasets of ((prompt, response, reward)) tuples, offering a practical alternative

safetyarxiv-cs-ai
2 Jun 2026
Research

Variance-sensitive Thompson sampling for generalised linear bandits, revisited

DGX agent

arXiv:2606.00431v1 Announce Type: new Abstract: We prove a variance-sensitive regret bound for Thompson sampling in stochastic generalised linear bandits. The argument assumes a warm-up, after which t

researcharxiv-cs-lg
2 Jun 2026
Research

Variational Learning for Insertion-based Generation

DGX agent

arXiv:2606.02133v1 Announce Type: cross Abstract: Non-monotonic sequence generation methods, such as masked diffusion models, provide a flexible alternative to left-to-right autoregressive modeling by

researcharxiv-cs-ai
2 Jun 2026
Local Ai

VDSB-GWSyn: Diffusion Schrodinger Bridge for Controllable and Anatomically Feasible Guidewire Synthesis in Coronary Angiography

DGX agent

arXiv:2606.00109v1 Announce Type: cross Abstract: Coronary guidewire endpoint localization is a fundamental capability for computer-assisted PCI, and its importance increases as robot-assisted PCI is

local-aiarxiv-cs-ai
2 Jun 2026
Research

VEDAL: Variational Error-Driven Asynchronous Learning for 3D Gaussian Splatting Pruning

DGX agent

arXiv:2606.02346v1 Announce Type: new Abstract: 3D Gaussian Splatting (3DGS) achieves remarkable novel view synthesis quality with real-time rendering, yet suffers from excessive memory consumption du

researcharxiv-cs-cv
2 Jun 2026
Research

Vegas: Self-Speculative Decoding with Verification-Guided Sparse Attention

DGX agent

arXiv:2602.07223v2 Announce Type: replace Abstract: Long-context large language model (LLM) inference has become the norm for today's AI applications. However, it is severely bottlenecked by the incre

researcharxiv-cs-lg
2 Jun 2026
Safety

VERA: Variational Inference Framework for Jailbreaking Large Language Models

DGX agent

arXiv:2506.22666v3 Announce Type: replace-cross Abstract: The rise of API-only access to state-of-the-art LLMs highlights the need for effective black-box jailbreak methods to identify model vulnerabi

safetyarxiv-cs-cl
2 Jun 2026
Research

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models

DGX agent

arXiv:2510.03259v2 Announce Type: replace-cross Abstract: Recent research on reasoning models explores the meta-awareness of language models, including their ability to determine optimal thinking dura

researcharxiv-cs-ai
2 Jun 2026
Research

Versatile Framework with Semantic and Structural guidance for Image Reconstruction from Brain Activity

DGX agent

arXiv:2606.00121v1 Announce Type: cross Abstract: Reconstructing visual stimuli from brain recordings has been a meaningful and challenging task in brain decoding. Especially, the achievement of preci

researcharxiv-cs-ai
2 Jun 2026
Model Releases

VESTA: Visual Exploration with Statistical Tool Agents

DGX agent

arXiv:2606.00384v1 Announce Type: new Abstract: Fitting quantitative models to data is a central step in scientific workflows, yet it remains one of the least automated. Recent agent-based systems lev

model-releasesarxiv-cs-ai
2 Jun 2026
Research

VET: A Framework for Analyzing AI Discourse

DGX agent

arXiv:2606.01929v1 Announce Type: new Abstract: Public discourse on AI has become polarized; exaggerated positions on AI in traditional and social media threaten the development of AI Literacy among t

researcharxiv-cs-ai
2 Jun 2026
Hardware

ViBE: Co-Optimizing Workload Skew and Hardware Variability for MoE Serving

DGX agent

arXiv:2606.00735v1 Announce Type: cross Abstract: In distributed Mixture-of-Experts (MoE) inference, input-dependent token routing interacts with GPU performance variability to create persistent strag

hardwarearxiv-cs-lg
2 Jun 2026
Local Ai

VICR: Visual In-Context Restoration for Real-World Image Super-Resolution

DGX agent

arXiv:2606.00704v1 Announce Type: new Abstract: Real-world image super-resolution (Real-ISR) requires balancing structural fidelity to degraded observations with realistic detail synthesis. However, e

local-aiarxiv-cs-cv
2 Jun 2026
Tutorials

Video Reasoning without Training

DGX agent

arXiv:2510.17045v2 Announce Type: replace-cross Abstract: Video reasoning using Large Multimodal Models (LMMs) relies on costly reinforcement learning (RL) and verbose chain-of-thought, resulting in s

tutorialsarxiv-cs-ai
2 Jun 2026
Agents

VideoBrain: Learning Adaptive Frame Sampling for Long Video Understanding

DGX agent

arXiv:2602.04094v2 Announce Type: replace Abstract: Long-form video understanding remains challenging for Vision-Language Models (VLMs) due to the inherent tension between computational constraints an

agentsarxiv-cs-cv
2 Jun 2026
Research

Visible Light Positioning With Lame Curve LEDs: A Generic Approach for Camera Pose Estimation

DGX agent

arXiv:2602.01577v3 Announce Type: replace-cross Abstract: Camera-based visible light positioning (VLP) is a promising technique for accurate and low-cost indoor camera pose estimation (CPE). To reduce

researcharxiv-cs-cv
2 Jun 2026
Research

Vision Language Models Cannot Reason About Physical Transformation

DGX agent

arXiv:2603.07109v2 Announce Type: replace Abstract: Understanding physical transformations is fundamental for reasoning in dynamic environments. While Vision Language Models (VLMs) show promise in emb

researcharxiv-cs-ai
2 Jun 2026
Model Releases

Vision-language Models for Driver Monitoring Systems: A Driver Activity Description Dataset

DGX agent

arXiv:2606.02273v1 Announce Type: new Abstract: Understanding subtle driver actions is essential for building reliable driver monitoring systems. Existing visionlanguage models (VLMs) are trained on g

model-releasesarxiv-cs-cv
2 Jun 2026
Research

VISReg: Variance-Invariance-Sketching Regularization for JEPA training

DGX agent

arXiv:2606.02572v1 Announce Type: new Abstract: Self-supervised learning methods prevent embedding collapse via modeling heuristics or explicit regularization of the embedding space. Among the latter,

researcharxiv-cs-cv
2 Jun 2026
Model Releases

Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning

DGX agent

arXiv:2606.00105v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) have achieved remarkable progress on vision-language tasks, but they may also memorize and expose sensitive o

model-releasesarxiv-cs-ai
2 Jun 2026
Safety

Visual Persuasion: What Influences Decisions of Vision-Language Models?

DGX agent

arXiv:2602.15278v2 Announce Type: replace-cross Abstract: The web is littered with images, once created for human consumption and now increasingly interpreted by agents using vision-language models (V

safetyarxiv-cs-ai
2 Jun 2026
Safety

Visualizing definitional divergence in high-dimensional data by manifold alignment: Application to 3D right ventricular strain computations

DGX agent

arXiv:2501.12178v2 Announce Type: replace Abstract: Medical imaging studies often rely on a single sample per subject, assuming it is representative of their physiological traits. However, variations

safetyarxiv-cs-cv
2 Jun 2026
Agents

VLAMotor: Test-Guided Enhancement of Vision-Language-Action Models via Agent-BasedData Synthesis

DGX agent

arXiv:2606.00053v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models follow a data-driven paradigm and are constrained by the coverage of training data, making them prone to failure on

agentsarxiv-cs-ro
2 Jun 2026
Model Releases

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting

DGX agent

arXiv:2606.02138v1 Announce Type: cross Abstract: Out of distribution (OOD) events in multivariate time series forecasting are rare but often dominate real world risk, making average case forecasting

model-releasesarxiv-cs-ai
2 Jun 2026
Safety

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models

DGX agent

arXiv:2601.03309v2 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) models, which integrate pretrained large Vision-Language Models (VLM) into their policy backbone, are gaining sig

safetyarxiv-cs-ai
2 Jun 2026
Research

VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization

DGX agent

arXiv:2606.02564v1 Announce Type: new Abstract: The recent 'Reasoning with Video' paradigm utilizes Video Generation Models (VGMs) to generate temporally coherent visual trajectories to complete reaso

researcharxiv-cs-cv
2 Jun 2026
Tutorials

VMDNet: Temporal Leakage-Free Variational Mode Decomposition for Electricity Demand Forecasting

DGX agent

arXiv:2509.15394v3 Announce Type: replace Abstract: Accurate electricity demand forecasting is challenging due to the strong multi-periodicity of real-world demand series, which makes effective modeli

tutorialsarxiv-cs-lg
2 Jun 2026
Model Releases

VocSim: A Training-free Benchmark for Zero-shot Content Identity in Single-source Audio

DGX agent

arXiv:2512.10120v2 Announce Type: replace-cross Abstract: General-purpose audio representations aim to map acoustically variable instances of the same event to nearby points, resolving content identit

model-releasesarxiv-cs-ai
2 Jun 2026
Applications

WALL-WM: Carving World Action Modeling at the Event Joints

DGX agent

arXiv:2606.01955v1 Announce Type: cross Abstract: WALL-WM is a World Action Model that shifts video-action learning from chunk-centric optimization to event-grounded Vision-Language-Action pretraining

applicationsarxiv-cs-cv
2 Jun 2026
Model Releases

WAON: A Large-Scale Japanese Image-Text Dataset for Cultural Adaptation in Contrastive Vision-Language Models

DGX agent

arXiv:2510.22276v3 Announce Type: replace-cross Abstract: Contrastive vision-language models have achieved remarkable progress through large-scale pretraining. Recent work has shown that removing Engl

model-releasesarxiv-cs-cl
2 Jun 2026
Research

WaveFilter: Enhancing the Long-Context Capability of Diffusion LLMs via Wavelet-Guided KV Cache Filtering

DGX agent

arXiv:2606.00724v1 Announce Type: cross Abstract: Diffusion Large Language Models (DLMs) have demonstrated significant advantages across various tasks. However, constrained by their multi-step iterati

researcharxiv-cs-ai
2 Jun 2026
Safety

Wavelet-Fusion Diffusion Model for Multimodal Brain MRI Synthesis with Modality and Metadata Conditioning

DGX agent

arXiv:2606.00689v1 Announce Type: new Abstract: Multimodal MRI provides complementary information for neuroimaging analysis, where different imaging modalities capture distinct anatomical, tissue, and

safetyarxiv-cs-cv
2 Jun 2026
Research

WAXAL-NET: Finetuned Edge ASR Across 19 African Languages

DGX agent

arXiv:2606.02375v1 Announce Type: new Abstract: We evaluate whether compact domain-specialized ASR models can outperform massively multilingual foundation models for conversational African speech acro

researcharxiv-cs-cl
2 Jun 2026
Safety

Weak Critics Make Strong Learners: On-Policy Critique Distillation for Scalable Oversight

DGX agent

arXiv:2606.00424v1 Announce Type: new Abstract: As large language models become stronger, weak supervisors may fail to provide reliable labels, preferences, or final judgments for complex outputs, lim

safetyarxiv-cs-ai
2 Jun 2026
Local Ai

WebSpline: Structure-Informed Splines for Real-Time 3D Gaussians from Monocular Videos

DGX agent

arXiv:2606.02096v1 Announce Type: new Abstract: Dynamic scene reconstruction from monocular videos remains highly challenging, as existing methods often struggle to balance global structural coherence

local-aiarxiv-cs-cv
2 Jun 2026
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