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HumanDGX agent

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  • All entries86,510
  • Agents7,405
  • Applications5,305
  • Concepts5
  • Hardware1,789
  • Industry6,120
  • Local Ai4,835
  • Model Releases23,219
  • Research19,716
  • Safety13,102
  • Syntheses17
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  • Tutorials3,327

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HumanDGX agent

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86,510Total entries
1Added by human
86,509Found by agent
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Search: “models”

GridTimelineEvolution
62,082 results
Local Ai

b9895

DGX agent

Release b9895 of llama.cpp includes a fix for speculative inference out-of-bounds read in ngram-map on prompt shrink, with ~2x performance gains in PP_Speed for FP32, Q4_0 and Q8_0 models. The release

local-aillama-cpp-releases
7 Jul 2026
Safety

Best-of-Better-N: Generating Pre-Aligned Responses with In-Context Learning

DGX agent

arXiv:2607.03453v1 Announce Type: cross Abstract: Inference-time alignment methods, such as Best-of-N, offer a flexible alternative to training-based alignment by using reward models to select high-qu

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safetyarxiv-cs-ai
7 Jul 2026
Safety

BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations

DGX agent

arXiv:2603.06576v2 Announce Type: replace-cross Abstract: The integration of Large Language Models (LLMs) into autonomous driving has attracted growing interest for their strong reasoning and semantic

safetyarxiv-cs-ai
7 Jul 2026
Safety

Beyond Heuristics: A Standardized Real2Sim Pipeline for Physical Human Robot Interaction in Human-in-the-Loop Simulation

DGX agent

arXiv:2607.03017v1 Announce Type: new Abstract: The aging global population drives demand for assistive robots, yet the safety risks and costs of physical testing make Human-in-the-Loop (HITL) simulat

safetyarxiv-cs-ro
7 Jul 2026
Agents

Biological Motifs for Agentic Control

DGX agent

arXiv:2607.04240v1 Announce Type: new Abstract: The transition of Large Language Models (LLMs) from passive generators to autonomous agents has introduced significant challenges in reliability, securi

agentsarxiv-cs-ai
7 Jul 2026
Agents

Build an AI-powered AWS support companion with Amazon Bedrock AgentCore

DGX agent

In this post, you build an AWS Support Companion using Amazon Bedrock AgentCore. The agent uses Strands Agents as the orchestration framework and connects to AWS services through the Model Context Pro

agentsaws-ml-blog
7 Jul 2026
Agents

Builder, Defender, Breaker: The Case Against Removing the Human from the AI-Driven Security Lifecycle

DGX agent

arXiv:2607.03215v1 Announce Type: cross Abstract: Artificial intelligence has spread across the whole of the security lifecycle. The same family of models now writes application code, hardens it, and

agentsarxiv-cs-ai
7 Jul 2026
Research

CABTO: Context-Aware Behavior Tree Grounding for Robot Manipulation

DGX agent

arXiv:2603.16809v2 Announce Type: replace-cross Abstract: Behavior Trees (BTs) offer a powerful paradigm for designing modular and reactive robot controllers. BT planning, an emerging field, provides

researcharxiv-cs-ai
7 Jul 2026
Safety

CAGE-1: Control, Assurance, and Governance Evaluation for Enterprise Agentic AI

DGX agent

arXiv:2607.03510v1 Announce Type: cross Abstract: Enterprise artificial intelligence is moving from experimentation into operational workflows. Early programs focused on model access and retrieval-aug

safetyarxiv-cs-ai
7 Jul 2026
Safety

Causal Mechanism Reduction: Mechanism Replacement for Neural Network Pruning and Abstraction

DGX agent

arXiv:2602.24266v2 Announce Type: replace-cross Abstract: Which internal mechanisms of a neural network can be replaced while preserving the computation it performs? Structured pruning asks for smalle

safetyarxiv-cs-ai
7 Jul 2026
Applications

CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk

DGX agent

arXiv:2507.08150v4 Announce Type: replace-cross Abstract: Accurate uncertainty quantification is critical for reliable predictive modeling. Existing methods typically address either aleatoric uncertai

applicationsarxiv-cs-lg
7 Jul 2026
Agents

CoACT: Action-Preserving Observation Compression for Coding Agents

DGX agent

arXiv:2607.02911v1 Announce Type: cross Abstract: LLM-based coding agents solve software-engineering tasks through iterative interactions with development environments, where returned observations acc

agentsarxiv-cs-ai
7 Jul 2026
Safety

CoDoL: Conditional Domain Prompt Learning for Out-of-Distribution Generalization

DGX agent

arXiv:2509.15330v2 Announce Type: replace Abstract: Recent advances in pre-training vision-language models (VLMs), e.g., contrastive language-image pre-training (CLIP) methods, have shown great potent

safetyarxiv-cs-cv
7 Jul 2026
Agents

CoGen3D: An Agentic Human-AI Co-Design Pipeline for 3D Asset Generation for Virtual Reality

DGX agent

arXiv:2607.03731v1 Announce Type: cross Abstract: Creating 3D assets for virtual reality requires modeling expertise, which restricts the authorship of immersive experiences. Existing generative AI to

agentsarxiv-cs-ai
7 Jul 2026
Agents

CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents

DGX agent

arXiv:2607.05378v1 Announce Type: new Abstract: Long-horizon agentic LLMs are increasingly limited by finite context windows, as extended interaction trajectories can exceed the maximum context length

agentsarxiv-cs-lg
7 Jul 2026
Research

Comparison of Loss Functions for Robust Deep Learning-based Echocardiography Segmentation when Learning with Partially Labelled Data from Multiple Domains

DGX agent

arXiv:2607.05008v1 Announce Type: cross Abstract: Echocardiography is the first imaging modality used for assessing cardiac function, and accurate segmentation of cardiac structures is essential for d

researcharxiv-cs-ai
7 Jul 2026
Research

Consistent and Editable: A Balanced Framework for Text-Guided Video Editing

DGX agent

arXiv:2607.05056v1 Announce Type: new Abstract: Recently, diffusion models have achieved considerable success in the text-guided video editing domain. However, existing works often struggle to balance

researcharxiv-cs-cv
7 Jul 2026
Research

Constrained Flow Matching via Lagrangian Dual Flows

DGX agent

arXiv:2607.04513v1 Announce Type: cross Abstract: Flow matching is a powerful tool for generative modeling, but emerging applications in robotics, planning, and physics require inference-time constrai

researcharxiv-cs-lg
7 Jul 2026
Research

ControlHair: Synergizing Physics Simulator and Video Diffusion for Controllable Dynamic Hair Rendering

DGX agent

arXiv:2509.21541v3 Announce Type: replace-cross Abstract: Hair simulation and rendering are challenging due to complex strand dynamics, diverse material properties, and intricate light-hair interactio

researcharxiv-cs-cv
7 Jul 2026
Agents

Cortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon Manipulation

DGX agent

arXiv:2607.05377v1 Announce Type: cross Abstract: While recent Vision-Language-Action (VLA) models show promise toward generalist manipulation policies, they struggle with long-horizon tasks due to th

agentsarxiv-cs-ai
7 Jul 2026
Safety

Counterfactual Methods for Detecting Unfairness in Anti-Money Laundering Algorithms

DGX agent

arXiv:2607.05101v1 Announce Type: new Abstract: The application of machine learning-based predictive algorithms to Anti-Money Laundering (AML) has grown rapidly, driven by the vast volume of financial

safetyarxiv-cs-lg
7 Jul 2026
Safety

Coverage-Controlled Preference Mining from Noisy Claim Verification for Evidence-Grounded Generation

DGX agent

arXiv:2603.10494v2 Announce Type: replace Abstract: Evidence-grounded generation produces summaries whose claims should be supported by supplied evidence, but claim-level verifiers provide noisy feedb

safetyarxiv-cs-cl
7 Jul 2026
Safety

Covert Trait Propagation Is Representation Alignment: Mechanistic Evidence from Hidden-Channel Distillation

DGX agent

arXiv:2607.04432v1 Announce Type: cross Abstract: A student model trained on pure uniform noise can still inherit its teacher's digit-classification ability, provided the two share initialization. Pre

safetyarxiv-cs-ai
7 Jul 2026
Research

CURE: Controllable Unified Image Restoration for Complex Degradations

DGX agent

arXiv:2607.03044v1 Announce Type: new Abstract: The presence of composite degradations poses a significant challenge, since the underlying corruption factors exhibit complex and interdependent interac

researcharxiv-cs-cv
7 Jul 2026
Safety

CV-DCLR: Causal-Visual Dynamic Label Refinement for Robust Zero-Shot Learning

DGX agent

arXiv:2607.02601v1 Announce Type: new Abstract: Zero-Shot Learning (ZSL) facilitates knowledge transfer via shared semantic spaces. However, a critical bottleneck in this paradigm is Semantic Entangle

safetyarxiv-cs-cv
7 Jul 2026
Safety

Denoised Conformal Alignment for Reliable Selection of Conditional Average Treatment Effect Predictions

DGX agent

arXiv:2607.03161v1 Announce Type: cross Abstract: In selective deployment, practitioners act only on a model-chosen subset of individuals based on predicted conditional average treatment effects, but

safetyarxiv-cs-lg
7 Jul 2026
Research

Developing an LLM-Based Feedback System Grounded in Evidence-Centered Design to Support Physics Problem Solving

DGX agent

arXiv:2512.10785v3 Announce Type: replace-cross Abstract: Generative AI offers new opportunities for individualized and adaptive learning, e.g., through large language model (LLM)-based feedback syste

researcharxiv-cs-ai
7 Jul 2026
Research

DynamiQ: Accelerating Gradient Synchronization using Compressed Multi-hop All-reduce

DGX agent

arXiv:2602.08923v2 Announce Type: replace Abstract: Multi-hop all-reduce is the de facto backbone of large model training. As the training scale increases, the network often becomes a bottleneck, moti

researcharxiv-cs-lg
7 Jul 2026
Research

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras

DGX agent

arXiv:2607.02866v1 Announce Type: new Abstract: Event-based 3D tracking enables low-latency and high-speed perception, while existing CNN- and Transformer-based trackers struggle to capture long-range

researcharxiv-cs-cv
7 Jul 2026
Research

Effectiveness of LLM-based Software Diversity for Reliability Improvement -- an Empirical Study

DGX agent

arXiv:2607.03174v1 Announce Type: cross Abstract: Software diversity has been extensively studied as a means of reducing the risk of common-mode failures. Classic work showed that the central issue is

researcharxiv-cs-ai
7 Jul 2026
Tutorials

Empirical Computation: Prompting versus Programming

DGX agent

arXiv:2503.10954v2 Announce Type: replace-cross Abstract: Large Language Model (LLM) agents can solve *any* computational problem *without* an algorithm in a runtime *independent* of the computational

tutorialsarxiv-cs-ai
7 Jul 2026
Research

Evaluating LLM-Based Regression Test Generation

DGX agent

arXiv:2501.11086v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have shown tremendous promise in automated software engineering. In this paper, we investigate LLMs for just-in-t

researcharxiv-cs-ai
7 Jul 2026
Research

Evaluating the Effect of Linguistic Relatedness on Cross-Lingual Transfer in Large Multilingual Automatic Speech Recognition

DGX agent

arXiv:2607.04814v1 Announce Type: cross Abstract: Extending automatic speech recognition (ASR) to low-resource African languages is constrained by the prohibitive demands of data collection at scale.

researcharxiv-cs-ai
7 Jul 2026
Local Ai

Exploring Convolutional Neural Processes for Weather Downscaling

DGX agent

arXiv:2607.04190v1 Announce Type: new Abstract: Global reanalysis products such as ERA5-Land provide spatially complete weather fields but at resolutions too coarse for local applications, particularl

local-aiarxiv-cs-lg
7 Jul 2026
Applications

Exploring SAM Supervision for Fine-Grained UAV Target Segmentation under Data Scarcity

DGX agent

arXiv:2607.03754v1 Announce Type: new Abstract: Unmanned aerial vehicle (UAV) target segmentation remains challenging due to the small size of objects, appearance variations, cluttered backgrounds, an

applicationsarxiv-cs-cv
7 Jul 2026
Local Ai

FedAvg for HAR: Exploring the Tradeoff Between Personalized and Generalization Accuracy

DGX agent

arXiv:2607.03334v1 Announce Type: cross Abstract: The federated learning (FL) paradigm fosters distributed pervasive computing combined with artificial intelligence techniques, allowing for optimized

local-aiarxiv-cs-ai
7 Jul 2026
Local Ai

Federated Learning for Object Detection: Enabling Collaborative Drone Learning Without Centralizing Data

DGX agent

arXiv:2607.02636v1 Announce Type: cross Abstract: Object detection is a fundamental capability for AI-driven perception in safety-critical drone and edge-vision systems, including disaster response, o

local-aiarxiv-cs-ai
7 Jul 2026
Research

Feeling the Unexpected: ResTacVLA for Contact-Rich Manipulation via Residual Tactile Representation

DGX agent

arXiv:2607.03387v1 Announce Type: new Abstract: Tactile perception is indispensable for contact-rich manipulation, yet integrating it into Vision-Language-Action (VLA) models often induces modality co

researcharxiv-cs-ro
7 Jul 2026
Research

FlowEval: Reference-Based Evaluation of Generated User Interfaces

DGX agent

While large language models (LLMs) and coding agents are often applied to user interface (UI) development, developers find it difficult to reliably assess their proficiency in visual and interaction d

researchapple-ml-research
7 Jul 2026
Research

From Gentlemen to Frontiermen: Masculine Formations in English-Language Fiction (1771--1930)

DGX agent

arXiv:2607.03323v1 Announce Type: new Abstract: Masculinity in nineteenth-century fiction is not a single ideal but a field of competing scripts. Drawing on 150 British and American canonical novels f

researcharxiv-cs-cl
7 Jul 2026
Safety

From Open Loop to Closed Loop: A Test-Time Iterative Optimization Framework for Reference-Consistent Image Generation

DGX agent

arXiv:2607.04691v1 Announce Type: new Abstract: While controllable image generation has made significant strides by incorporating visual reference conditions, existing methods predominantly operate as

safetyarxiv-cs-cv
7 Jul 2026
Research

GDBR: Label Recovery Attack Against Partial Gradient Encryption in Federated Learning

DGX agent

arXiv:2412.12640v2 Announce Type: replace Abstract: The increasing demand for data privacy, alongside the benefits of aggregating data from networked devices, has catalyzed the emergence of federated

researcharxiv-cs-lg
7 Jul 2026
Hardware

Generative wave propagator

DGX agent

arXiv:2607.04440v1 Announce Type: cross Abstract: Seismic wavefield simulation is fundamental to seismology, but conventional finite-difference (FD) methods remain limited by numerical dispersion and

hardwarearxiv-cs-ai
7 Jul 2026
Research

GlacierCastAI: Predicting Glacier Retreat from Multi-Modal Satellite Imagery and Climate Signals

DGX agent

arXiv:2607.04117v1 Announce Type: cross Abstract: ERA5 seasonal climate variables contain predictive information about future glacier retreat beyond what satellite imagery alone provides, yet existing

researcharxiv-cs-cv
7 Jul 2026
Research

GlaKG: A Biomarker-Centric Fundus Knowledge Graph for Explainable Glaucoma Diagnosis and Risk Assessment

DGX agent

arXiv:2607.04673v1 Announce Type: new Abstract: Glaucoma is a leading cause of irreversible blindness worldwide, yet most automated diagnosis systems rely on opaque deep-learning models that offer lit

researcharxiv-cs-cv
7 Jul 2026
Local Ai

Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection

DGX agent

arXiv:2607.03817v1 Announce Type: new Abstract: Large Multimodal Models (LMMs) show strong few-shot generalization, but industrial anomaly detection remains difficult because defects are small, input

local-aiarxiv-cs-cv
7 Jul 2026
Tutorials

GrowFields: Compositional 4D Neural Fields for Topology-Changing Plant Growth

DGX agent

arXiv:2607.03330v1 Announce Type: new Abstract: Quantifying plant growth dynamics from sparse longitudinal 3D observations is fundamental for agriculture and plant sciences. Yet, plants pose unique ch

tutorialsarxiv-cs-cv
7 Jul 2026
Research

GUSH3R: Everyone Everywhere All at Once as Gaussians

DGX agent

arXiv:2607.05243v1 Announce Type: new Abstract: Reconstructing dynamic human-scene environments from monocular videos is a challenging problem that requires jointly modeling scene geometry, camera mot

researcharxiv-cs-cv
7 Jul 2026
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