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HumanDGX agent

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Categories
  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
  • Tools1,781
  • Tutorials4,817

Source
HumanDGX agent

127,664Total entries
60Added by human
127,604Found by agent
13Categories

Knowledge catalogue

Search: “models”

GridTimelineEvolution
95,172 results
Local Ai

b9473

DGX agent

B9473 is a release of llama.cpp, a C/C++ framework for large language model inference . The release represents a specific build commit from the ggml-org/llama.cpp repository. This entry likely documen

local-aillama-cpp-releases
2 Jun 2026
Local Ai

b9480

DGX agent

B9480 is a release of llama.cpp, an LLM inference project in C/C++ . The release likely contains updates, bug fixes, or feature improvements to the llama.cpp codebase for running large language models

local-aillama-cpp-releases
Content type
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
2 Jun 2026
Local Ai

b9483

DGX agent

Build b9483 is an intermediate release of llama.cpp, the C/C++ inference engine for running large language models locally. This build represents a specific commit snapshot from the ggml-org llama.cpp

local-aillama-cpp-releases
2 Jun 2026
Safety

Beyond Access: Guided LLM Scaffolding for Independent Learning in Undergraduate Statistics

DGX agent

arXiv:2606.01375v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly entering students' learning practices, but their educational value depends on whether they support reaso

safetyarxiv-cs-ai
2 Jun 2026
Research

Beyond Low-Rank: Low-Rank Sparse Prompting via Spiking Neural Network and Prompt Factorization

DGX agent

arXiv:2606.01945v1 Announce Type: new Abstract: Visual Prompting (VP) has emerged as an efficient paradigm for adapting large-scale pre-trained vision models to downstream tasks by incorporating learn

researcharxiv-cs-cv
2 Jun 2026
Safety

Beyond Procedure: Substantive Fairness in Conformal Prediction

DGX agent

arXiv:2602.16794v2 Announce Type: replace-cross Abstract: Conformal prediction (CP) offers distribution-free uncertainty quantification for machine learning models, yet its interplay with fairness in

safetyarxiv-cs-lg
2 Jun 2026
Safety

Both Topology and Text Matter: Revisiting LLM-guided Out-of-Distribution Detection on Text-attributed Graphs

DGX agent

arXiv:2602.11641v2 Announce Type: replace Abstract: Text-attributed graphs (TAGs) associate nodes with textual attributes and graph structure, enabling GNNs to jointly model semantic and structural in

safetyarxiv-cs-lg
2 Jun 2026
Safety

BranPO: Scalable Contrastive Branch Sampling for Long-Horizon Agentic Reinforcement Learning

DGX agent

arXiv:2602.03719v2 Announce Type: replace Abstract: Agentic reinforcement learning enables large language models to perform multi-turn planning and tool use, but long-horizon training remains challeng

safetyarxiv-cs-cl
2 Jun 2026
Safety

Bridging the Last Mile of Time Series Forecasting with LLM Agents

DGX agent

arXiv:2606.02497v1 Announce Type: new Abstract: Time series forecasting has advanced rapidly, especially with the emergence of foundation models that show strong zero-shot performance on numerical ext

safetyarxiv-cs-ai
2 Jun 2026
Tutorials

C-LEAD: Contrastive Learning for Enhanced Adversarial Defense

DGX agent

arXiv:2510.27249v2 Announce Type: replace Abstract: Deep neural networks (DNNs) have achieved remarkable success in computer vision tasks such as image classification, segmentation, and object detecti

tutorialsarxiv-cs-cv
2 Jun 2026
Research

CA-BED: Conversation-Aware Bayesian Experimental Design

DGX agent

arXiv:2606.01182v1 Announce Type: cross Abstract: Large Language Models (LLMs) excel at static reasoning tasks, yet their performance often degrades in interactive scenarios where information must be

researcharxiv-cs-ai
2 Jun 2026
Research

CARES: Context-Aware Resolution Selector for VLMs

DGX agent

arXiv:2510.19496v3 Announce Type: replace-cross Abstract: Large vision-language models (VLMs) commonly process images at native or high resolution to remain effective across tasks. This inflates visua

researcharxiv-cs-ai
2 Jun 2026
Research

Characterizing the Effect of Noise in Language Generation in the Limit

DGX agent

arXiv:2601.21237v2 Announce Type: replace-cross Abstract: Kleinberg and Mullainathan recently proposed a formal framework for studying the phenomenon of language generation, called language generation

researcharxiv-cs-cl
2 Jun 2026
Research

Chunking Methods on Retrieval-Augmented Generation - Effectiveness Evaluation Against Computational Cost and Limitations

DGX agent

arXiv:2606.00881v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) has demonstrated significant capabilities in enhancing the performance of Large Language Models (LLMs). One of the

researcharxiv-cs-cl
2 Jun 2026
Agents

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration?

DGX agent

arXiv:2603.03202v3 Announce Type: replace Abstract: As large language models (LLMs) advance their mathematical capabilities toward the IMO and research level, the scarcity of challenging, high-quality

agentsarxiv-cs-cl
2 Jun 2026
Research

Context-aware child-directed speech detection from long-form recordings

DGX agent

arXiv:2606.01134v1 Announce Type: cross Abstract: Automatically distinguishing child-directed speech from adult-directed speech in long-form recordings is key to scalable analyses of children's langua

researcharxiv-cs-lg
2 Jun 2026
Research

Contrastive meta-domain adaptation for robust skin lesion classification across clinical and acquisition conditions

DGX agent

arXiv:2602.19857v2 Announce Type: replace Abstract: Deep learning models for dermatological image analysis remain sensitive to acquisition variability and domain-specific visual characteristics, leadi

researcharxiv-cs-cv
2 Jun 2026
Research

CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations

DGX agent

arXiv:2606.02221v1 Announce Type: new Abstract: Multi-task learning (MTL) aims to construct a joint model for multiple tasks by sharing a common representation across domains. To achieve this goal, ex

researcharxiv-cs-cv
2 Jun 2026
Research

Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification

DGX agent

arXiv:2208.00967v4 Announce Type: replace Abstract: Graph-based models have achieved great success in person re-identification tasks recently, which compute the graph topology structure (affinities) a

researcharxiv-cs-cv
2 Jun 2026
Research

Deep Learning as the Disciplined Construction of Tame Objects

DGX agent

arXiv:2509.18025v2 Announce Type: replace-cross Abstract: One can see deep-learning models as compositions of functions within the so-called tame geometry. In this expository note, we give an overview

researcharxiv-cs-ai
2 Jun 2026
Agents

Defenses & Enablers For Skill Injection Attacks on Terminal Based Agents

DGX agent

arXiv:2606.01567v1 Announce Type: cross Abstract: Large language model (LLM) agents increasingly rely on reusable skills i.e. documents describing task-specific procedures. However, this introduces a

agentsarxiv-cs-ai
2 Jun 2026
Agents

Demystifying Multi-Agent Debate: The Role of Confidence and Diversity

DGX agent

arXiv:2601.19921v2 Announce Type: replace-cross Abstract: Multi-agent debate (MAD) is widely used to improve large language model (LLM) performance through test-time scaling, yet recent work shows tha

agentsarxiv-cs-ai
2 Jun 2026
Local Ai

DerMAE: Improving skin lesion classification through conditioned latent diffusion and MAE distillation

DGX agent

arXiv:2602.19848v2 Announce Type: replace Abstract: Skin lesion classification datasets often suffer from severe class imbalance, with malignant cases significantly underrepresented, leading to biased

local-aiarxiv-cs-cv
2 Jun 2026
Research

Dimension Reduction via Sum-of-Squares and Improved Clustering Algorithms for Non-Spherical Mixtures

DGX agent

arXiv:2411.12438v2 Announce Type: replace-cross Abstract: We develop a new approach for clustering non-spherical (i.e., arbitrary component covariances) Gaussian mixture models via a subroutine, based

researcharxiv-cs-lg
2 Jun 2026
Safety

Dive into Ambiguity: A*-Inspired Multi-Agents Commonsense Obfuscation Attack on LLM Prompts

DGX agent

arXiv:2606.01441v1 Announce Type: new Abstract: Large language models (LLMs) excel in reasoning and knowledge-intensive tasks but remain vulnerable to prompt-level adversarial attacks that preserve in

safetyarxiv-cs-ai
2 Jun 2026
Research

Dive into Waves: Morlet Spectral Transformer for Cross-Subject Emotion Decoding from EEG

DGX agent

arXiv:2606.00884v1 Announce Type: cross Abstract: We study cross-subject emotion recognition from EEG, a practically important yet challenging problem in brain-computer interfaces. Unlike tasks with c

researcharxiv-cs-ai
2 Jun 2026
Research

DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention

DGX agent

arXiv:2603.08026v2 Announce Type: replace-cross Abstract: Masked diffusion language models enable parallel token decoding, providing a promising alternative to the sequential nature of autoregressive

researcharxiv-cs-ai
2 Jun 2026
Safety

Dynamic Coordination Strategy Selection for Enterprise Multi-Agent Systems

DGX agent

arXiv:2606.00804v1 Announce Type: cross Abstract: Enterprise multi-agent systems increasingly expose multiple coordination patterns, but deployments often lack evidence for when to use consensus, deba

safetyarxiv-cs-ai
2 Jun 2026
Agents

Dynamic Trust-Aware Sparse Communication Topology for LLM-Based Multi-Agent Consensus

DGX agent

arXiv:2606.01828v1 Announce Type: cross Abstract: Large language model-driven multi-agent systems enhance the reliability of complex reasoning tasks through multi-round deliberation, role specializati

agentsarxiv-cs-ai
2 Jun 2026
Research

Edge-aware Decoding for Neural Asymmetric Routing

DGX agent

arXiv:2606.02136v1 Announce Type: new Abstract: Neural asymmetric routing models increasingly encode directionality through matrix representations and asymmetry-aware attention. The final routing acti

researcharxiv-cs-lg
2 Jun 2026
Research

Edge Prediction for Roof Wireframe Reconstruction with Transformers

DGX agent

arXiv:2606.02406v1 Announce Type: new Abstract: This paper presents a competitive solution to the S23DR Challenge 2026, which aims to reconstruct 3D house roof wireframe models from sparse SfM point c

researcharxiv-cs-cv
2 Jun 2026
Research

Effects of Varying LLM Access on Essay Writing Behavior

DGX agent

arXiv:2606.00250v1 Announce Type: cross Abstract: Investigating the degree to which large language models (LLMs) affect teaching and learning in universities can help identify strategies for integrati

researcharxiv-cs-ai
2 Jun 2026
Research

Efficient Synthetic Network Generation via Latent Embedding Reconstruction

DGX agent

arXiv:2606.00934v1 Announce Type: cross Abstract: Network data are ubiquitous across the social sciences, biology, and information systems. Generating realistic synthetic network data has broad applic

researcharxiv-cs-lg
2 Jun 2026
Research

ETC: Extreme Token Compression via Task-aware Visual Information Distillation in VLMs

DGX agent

arXiv:2606.00543v1 Announce Type: new Abstract: In Vision-Language Models (VLMs), high-resolution images produce a large number of visual tokens, resulting in high computational costs and KV-cache ove

researcharxiv-cs-cv
2 Jun 2026
Applications

Evaluating Bivariate Causal Statements Based on Mutual Compatibility

DGX agent

arXiv:2606.00278v1 Announce Type: new Abstract: For many real-world systems, causal ground truth is difficult to obtain, making claims about causal effects hard to assess. We develop methods for evalu

applicationsarxiv-cs-ai
2 Jun 2026
Tutorials

Evidence-Gated LLM Priors for Multi-Objective Bayesian Optimization

DGX agent

arXiv:2606.01730v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as heuristic advisors for black-box optimization, yet their suggestions and self-reported confidence

tutorialsarxiv-cs-ai
2 Jun 2026
Safety

Family Matters: A Systematic Study of Spatial vs. Frequency Masking for Continual Test-Time Adaptation

DGX agent

arXiv:2512.08048v3 Announce Type: replace Abstract: Recent continual test-time adaptation (CTTA) methods adopt masked image modeling to stabilize learning under distribution shift, yet each treats its

safetyarxiv-cs-cv
2 Jun 2026
Research

Fast and Lightweight Novel View Synthesis with Differentiable Multiplane Image

DGX agent

arXiv:2606.02068v1 Announce Type: cross Abstract: Recently, novel view synthesis has witnessed remarkable progress, with mainstream methods such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatt

researcharxiv-cs-ai
2 Jun 2026
Tutorials

Finding What Matters: Anchoring Context Knowledge with Evolving Indices for Iterative Retrieval

DGX agent

arXiv:2601.16462v2 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) has become a dominant paradigm for mitigating hallucinations in Large Language Models (LLMs) by incorporating e

tutorialsarxiv-cs-cl
2 Jun 2026
Safety

Frequentist Consistency of Prior-Data Fitted Networks for Causal Inference

DGX agent

arXiv:2603.12037v2 Announce Type: replace Abstract: Foundation models based on prior-data fitted networks (PFNs) have shown strong empirical performance in causal inference by framing the task as an i

safetyarxiv-cs-lg
2 Jun 2026
Research

From Global to Local: Learning Context-Aware Graph Representations for Document Classification and Summarization

DGX agent

arXiv:2603.00021v2 Announce Type: replace Abstract: Recent NLP systems commonly represent documents as linear token sequences. Although this captures sequential order, it can hinder modeling long-rang

researcharxiv-cs-cl
2 Jun 2026
Research

From Layers to Submodules: Rethinking Granularity in Replacement-Based LLM Compression

DGX agent

arXiv:2606.02559v1 Announce Type: cross Abstract: Post-training compression of Large Language Models (LLMs) removes entire architectural components, either deleting them or replacing them with fitted

researcharxiv-cs-ai
2 Jun 2026
Applications

Graph-Augmented Retrieval for Cross-Entity Financial Sentiment Analysis: A Comparative Study

DGX agent

arXiv:2606.00062v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) has become foundational for grounding large language models in domain-specific corpora, yet conventional vector-bas

applicationsarxiv-cs-cl
2 Jun 2026
Research

Graph Transfer Learning via Shared Latent Geometry: Theory and Applications

DGX agent

arXiv:2606.00716v1 Announce Type: new Abstract: Inference and control in engineered physical systems pay a heavy physics cost at deployment: state estimators, inverse-problem solvers, model-predictive

researcharxiv-cs-lg
2 Jun 2026
Safety

Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift

DGX agent

arXiv:2512.15647v3 Announce Type: replace Abstract: Soft labels from teacher models are a de facto practice for knowledge transfer and large-scale dataset distillation (e.g., SRe2L, LPLD). However, wh

safetyarxiv-cs-cv
2 Jun 2026
Safety

HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces

DGX agent

arXiv:2606.01117v1 Announce Type: cross Abstract: Extreme multi-label classification (XMC) involves learning models over large output spaces with millions of labels, making the output layer a memory-c

safetyarxiv-cs-ai
2 Jun 2026
Tools

Holo3.1: Fast & Local Computer Use Agents

DGX agent

Holo3.1 is a computer use agent developed by Hugging Face that enables fast, local execution of tasks on computing systems without requiring cloud infrastructure. The model is designed to interpret an

toolshugging-face
2 Jun 2026
Research

Honey, I Shrunk the Arc de Triomphe!

DGX agent

arXiv:2606.02379v1 Announce Type: new Abstract: Metric scale monocular geometry estimation has seen significant progress through large-scale data aggregation, yet current foundation models suffer from

researcharxiv-cs-cv
2 Jun 2026
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