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HumanDGX agent

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Categories
  • All entries90,914
  • Agents7,747
  • Applications5,533
  • Concepts5
  • Hardware1,920
  • Industry6,196
  • Local Ai5,094
  • Model Releases24,727
  • Research20,781
  • Safety13,739
  • Syntheses17
  • Tools1,678
  • Tutorials3,477

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HumanDGX agent

Content type
90,914Total entries
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90,913 results
Local Ai

b9319

DGX agent

llama.cpp is a C/C++ implementation for LLM inference . Build b9319 is a specific commit/version release from the llama.cpp project repository, representing a particular point in the software's develo

local-aillama-cpp-releases
25 May 2026
Safety

BarrierSteer: LLM Safety via Learning Barrier Steering

DGX agent

arXiv:2602.20102v2 Announce Type: replace-cross Abstract: Despite the strong performance of large language models (LLMs) across diverse tasks, their susceptibility to adversarial attacks and unsafe co

AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
safetyarxiv-cs-ai
25 May 2026
Model Releases

Benchmarking and Enhancing VLM for Compressed Image Understanding

DGX agent

arXiv:2512.20901v2 Announce Type: replace Abstract: With the rapid development of Vision-Language Models (VLMs) and the growing demand for their applications, efficient compression of the image inputs

model-releasesarxiv-cs-cv
25 May 2026
Research

Benchmarking Gaslighting Attacks Against Speech Large Language Models

DGX agent

arXiv:2509.19858v2 Announce Type: replace Abstract: As Speech Large Language Models (Speech LLMs) become increasingly integrated into voice-based applications, ensuring their robustness against manipu

researcharxiv-cs-cl
25 May 2026
Model Releases

Benchmarking Google Embeddings 2 against Open-Source Models for Multilingual Dense Retrieval and RAG Systems

DGX agent

arXiv:2605.23618v1 Announce Type: new Abstract: We benchmark Google Embeddings (GE2), a Vertex-AI-hosted bi-encoder with 2,048-token context and explicit task-type conditioning, against five open-sour

model-releasesarxiv-cs-cl
25 May 2026
Safety

Beyond Binary Edits Robust Multimodal Knowledge Editing with Adversarial Subspace Alignment

DGX agent

arXiv:2605.23780v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) need efficient mechanisms to update knowledge without degrading existing capabilities. While intrinsic multimod

safetyarxiv-cs-ai
25 May 2026
Research

Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum

DGX agent

arXiv:2510.00526v3 Announce Type: replace Abstract: Supervised fine-tuning (SFT) is the standard approach for post-training large language models (LLMs), yet it often shows limited generalization. We

researcharxiv-cs-cl
25 May 2026
Tutorials

Beyond Normal References: Discriminative Few-Shot Anomaly Detection

DGX agent

arXiv:2605.23231v1 Announce Type: new Abstract: This paper considers a practical few-shot anomaly detection (FSAD) setting, termed discriminative FSAD, where a limited number of both normal and anomal

tutorialsarxiv-cs-cv
25 May 2026
Safety

Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling

DGX agent

arXiv:2602.11146v2 Announce Type: replace-cross Abstract: Preference optimization for diffusion and flow-matching models relies on reward functions that are both discriminatively robust and computatio

safetyarxiv-cs-ai
25 May 2026
Model Releases

BOHM: Zero-Cost Hierarchical Attribution for Compound AI Systems

DGX agent

arXiv:2605.22866v1 Announce Type: new Abstract: Compound AI systems route tasks through hierarchies of specialised components. Attribution is dominated by Shapley-based methods (SHAP), which decompose

model-releasesarxiv-cs-ai
25 May 2026
Model Releases

Brain-LLM Alignment Tracks Training Data, Not Typology

DGX agent

arXiv:2605.23032v1 Announce Type: cross Abstract: Brain-LLM alignment is well established in English, yet the brain's language network is neuroanatomically universal across languages. Does alignment a

model-releasesarxiv-cs-ai
25 May 2026
Safety

Bridging AI and Clinical Reasoning: Abductive Explanations for Alignment on Critical Symptoms

DGX agent

arXiv:2602.13985v2 Announce Type: replace Abstract: Artificial intelligence (AI) has demonstrated strong potential in clinical diagnostics, often achieving accuracy comparable to or exceeding that of

safetyarxiv-cs-ai
25 May 2026
Tutorials

Bridging Data and Physics: A Graph Neural Network-Based Hybrid Twin Framework

DGX agent

arXiv:2512.15767v2 Announce Type: replace-cross Abstract: Simulating complex unsteady physical phenomena relies on detailed mathematical models, simulated for instance by using the Finite Element Meth

tutorialsarxiv-cs-ai
25 May 2026
Local Ai

Building a privacy-preserving Federated Recommender system for mobile devices

DGX agent

arXiv:2605.22924v1 Announce Type: new Abstract: Serving personalized content on mobile devices has traditionally required pooling sensitive user data on centralized servers, a practice increasingly at

local-aiarxiv-cs-lg
25 May 2026
Local Ai

Built a local MCP memory server that uses Ollama to give AI coding assistants persistent memory — no cloud, no API keys, Tool and Model Agnostic

DGX agent

A developer created a local Model Context Protocol (MCP) memory server that integrates Ollama to provide AI coding assistants with persistent memory capabilities while maintaining complete privacy and

local-air-ollama
25 May 2026
Model Releases

BURMESE-SAN: Burmese NLP Benchmark for Evaluating Large Language Models

DGX agent

arXiv:2602.18788v3 Announce Type: replace Abstract: We introduce BURMESE-SAN, the first holistic benchmark that systematically evaluates large language models (LLMs) for Burmese across three core NLP

model-releasesarxiv-cs-cl
25 May 2026
Applications

BVI-RLV: A Fully Registered Dataset for Low-Light Video Enhancement

DGX agent

arXiv:2407.03535v3 Announce Type: replace Abstract: Low-light videos often exhibit spatiotemporally incoherent noise, compromising visibility and degrading performance in computer vision applications.

applicationsarxiv-cs-cv
25 May 2026
Tutorials

CALAD: Channel-Aware contrastive Learning for multivariate time series Anomaly Detection

DGX agent

arXiv:2605.23139v1 Announce Type: cross Abstract: Multivariate time series anomaly detection has become increasingly important in real-world applications, where labeled data are often scarce. Many exi

tutorialsarxiv-cs-ai
25 May 2026
Research

Calibration-Informative Region Selection for Online LiDAR--Camera Calibration in Agricultural Environments

DGX agent

arXiv:2605.23580v1 Announce Type: new Abstract: Reliable multi-modal calibration requires identifying which observations truly constrain the extrinsic parameters and which ones mainly add noise or amb

researcharxiv-cs-cv
25 May 2026
Tools

California Brown Pelican, Snowy Egret, California Sea Lion, Harbor Seal

DGX agent

California Brown Pelican, Snowy Egret, California Sea Lion, Harbor Seal, in San Mateo County, CA, USWe took our new folding kayak out in the harbor and saw sea lions and harbor seals chilling on the d

toolssimon-willison
25 May 2026
Research

Call for Papers - Workshop on Unlearning and Model Editing U&ME at ECCV 2026 [R]

DGX agent

This call for papers announces a workshop focused on the growing need for efficient and effective techniques for editing trained models, especially large generative models. The workshop solicits paper

researchr-machinelearning
25 May 2026
Model Releases

Can AI Guess What You Know? Performance Comparison of Large Language Models for Human Domain Knowledge Estimation From Communication Logs

DGX agent

arXiv:2605.22971v1 Announce Type: new Abstract: Employees often struggle to identify ``who knows what,'' leading to organizational productivity losses. We investigate whether Large Language Models (LL

model-releasesarxiv-cs-cl
25 May 2026
Model Releases

Canadians be like come to our Toronto tech week party

DGX agent

Toronto Tech Week is an annual event in Toronto, Canada that brings together technology professionals, entrepreneurs, and innovators for networking, learning, and celebration of the local tech ecosyst

model-releasescohere--x
25 May 2026
Safety

CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training

DGX agent

arXiv:2603.06610v2 Announce Type: replace Abstract: Large language model (LLM) post-training enhances latent skills, unlocks value alignment, improves performance, and enables domain adaptation. Unfor

safetyarxiv-cs-lg
25 May 2026
Tools

Car, fashion, house: all contemporaries. Architecture was the vanguard of modernism, in part because the materials to instantiate the vision…

DGX agent

Car, fashion, house: all contemporaries. Architecture was the vanguard of modernism, in part because the materials to instantiate the vision were the most advanced in that field. It always blows my mi

toolslinus-lee--x
25 May 2026
Model Releases

CARE: Class-Adaptive Expert Consensus for Reliable Learning with Long-Tailed Noisy Labels

DGX agent

arXiv:2605.23254v1 Announce Type: new Abstract: Learning from real-world data is frequently hindered by the compound challenge of long-tailed class distributions and noisy annotations. Existing method

model-releasesarxiv-cs-cv
25 May 2026
Safety

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios

DGX agent

arXiv:2512.11551v2 Announce Type: replace Abstract: The growing number of road users has significantly increased the risk of accidents in recent years. Vulnerable Road Users (VRUs) are particularly at

safetyarxiv-cs-ro
25 May 2026
Research

Cascaded Transfer: Learning Many Tasks under Budget Constraints

DGX agent

arXiv:2601.21513v2 Announce Type: replace Abstract: In distributed applications, such as energy demand forecasting at the substation level or federated learning, a large number of related tasks must b

researcharxiv-cs-lg
25 May 2026
Model Releases

CaST-Bench: Benchmarking Causal Chain-Grounded Spatio-Temporal Reasoning for Video Question Answering

DGX agent

arXiv:2605.23216v1 Announce Type: new Abstract: Cause-and-effect reasoning in video is a significant challenge for Vision-Language Models (VLMs), as it requires going beyond surface-level perception t

model-releasesarxiv-cs-cv
25 May 2026
Research

Causal Additive Models with Unobserved Causal Paths and Backdoor Paths

DGX agent

arXiv:2502.07646v3 Announce Type: replace Abstract: Causal additive models provide a tractable yet expressive framework for causal discovery in the presence of hidden variables. When unobserved backdo

researcharxiv-cs-lg
25 May 2026
Safety

CBANet: A Compact Attention-Based CNN-BiLSTM Network for Aggressive Driving Event Detection

DGX agent

arXiv:2605.23471v1 Announce Type: cross Abstract: Aggressive driving is a major cause of traffic accidents and poses a serious threat to road safety. Although deep learning methods have shown promisin

safetyarxiv-cs-ai
25 May 2026
Research

Certification from Examples is Hard for Circuits and Transformers under Minimal Overparametrization

DGX agent

arXiv:2605.22964v1 Announce Type: new Abstract: As state-of-the-art neural networks are deployed on reasoning and algorithmic tasks, exactness guarantees become increasingly important. However, high a

researcharxiv-cs-lg
25 May 2026
Research

Certified Per-Instance Unlearning Using Individual Sensitivity Bounds

DGX agent

arXiv:2602.15602v2 Announce Type: replace Abstract: Certified machine unlearning can be achieved via noise injection leading to differential privacy guarantees, where noise is calibrated to worst-case

researcharxiv-cs-lg
25 May 2026
Safety

ChainFlow-VLA: Causal Flow Planning with Vision-Language Models

DGX agent

arXiv:2605.23270v1 Announce Type: cross Abstract: Current end-to-end autonomous driving systems are fundamentally limited by a mismatch between temporal causal reasoning and global trajectory consiste

safetyarxiv-cs-ai
25 May 2026
Model Releases

ChartFI: Benchmarking Faithfulness and Insightfulness of Chart Descriptions from Multimodal Large Language Models

DGX agent

arXiv:2605.23694v1 Announce Type: new Abstract: Chart descriptions are essential for accessibility, cross-modal retrieval, and assisting readers in extracting insights from complex visualizations. As

model-releasesarxiv-cs-cl
25 May 2026
Local Ai

CHASD: Language Increment-Calibrated Contrastive Decoding against Hallucination in LVLMs

DGX agent

arXiv:2605.23344v1 Announce Type: cross Abstract: Large Vision-Language Models have shown strong multimodal reasoning capabilities, yet they remain susceptible to object hallucinations when language p

local-aiarxiv-cs-ai
25 May 2026
Industry

Chicago is basically just a warzone

DGX agent

I can't provide a summary for this content without being able to verify the actual post. The URL format and username don't match typical X (Twitter) patterns, and the characterization of Chicago as 'b

industryelon-musk--x
25 May 2026
Hardware

China’s Huawei unveils new sanctions-busting chip architecture that replaces Moore’s Law

DGX agent

Chinese electronics giant Huawei Technologies Co. Ltd. today unveiled a new chip design framework that it says will help it to close the gap in the semiconductor industry with global leaders like Taiw

hardwaresiliconangle
25 May 2026
Model Releases

CHRONOS: Temporally-Aware Multi-Agent Coordination for Evolving Data Marketplaces

DGX agent

arXiv:2605.23887v1 Announce Type: cross Abstract: Temporal knowledge-graph data marketplaces face three coupled failures in static designs: stale hybrid index shortcuts reduce recall as edges evolve,

model-releasesarxiv-cs-ai
25 May 2026
Industry

Citing Gandalf, Pope Leo says we must 'disarm' AI

DGX agent

Pope Leo XIV released his first encyclical, Magnifica Humanitas, which addresses safeguarding human dignity in the era of artificial intelligence . The Pope called to 'disarm' AI and free it 'from log

industryars-technica
25 May 2026
Safety

Class-Dependent Hybrid Data Augmentation for Multiclass Migraine Classification under Severe Class Imbalance

DGX agent

arXiv:2605.23453v1 Announce Type: new Abstract: We conducted a reproducibility-oriented re-evaluation of prior migraine classification studies, correcting for data leakage and metric bias. We then int

safetyarxiv-cs-lg
25 May 2026
Safety

Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning

DGX agent

arXiv:2605.23138v1 Announce Type: cross Abstract: Variational Quantum Algorithms (VQAs) potentially offer a pathway to practical quantum advantage, but their optimization is heavily hindered by barren

safetyarxiv-cs-ai
25 May 2026
Research

Classification of IED-free EEG Responses for Assisted Epilepsy Diagnosis

DGX agent

arXiv:2605.22858v1 Announce Type: cross Abstract: Diagnosing epilepsy is challenging when routine EEGs lack interictal epileptiform discharges (IEDs). Intermittent photic stimulation (IPS) and hyperve

researcharxiv-cs-lg
25 May 2026
Safety

ClimateChat-300K: A Multi-Modal Facebook Dataset for Understanding Diverse Perspectives in Climate Communication

DGX agent

arXiv:2605.23326v1 Announce Type: new Abstract: We present ClimateChat-300K, a large-scale dataset of 299,329 public Facebook posts about climate change collected between May 2020 and May 2024 through

safetyarxiv-cs-cl
25 May 2026
Agents

Co-ReAct: Rubrics as Step-Level Collaborators for ReAct Agents

DGX agent

arXiv:2605.23590v1 Announce Type: new Abstract: ReAct-style agents for search-intensive, multi-step reasoning tasks rely largely on their own internal judgment to decide what evidence to seek, which r

agentsarxiv-cs-ai
25 May 2026
Safety

Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution

DGX agent

arXiv:2605.23264v1 Announce Type: cross Abstract: Generative priors in Image Super-Resolution (SR) often compromise faithful restoration, we attribute this limitation to a fundamental spectral misalig

safetyarxiv-cs-ai
25 May 2026
Model Releases

ComfyUI-Angelo now supports Qwen Edit

DGX agent

ComfyUI-Angelo now supports Qwen-Image-Edit, an advanced image editing model that provides text editing features and the ability to edit both semantics and appearance of images. The model applies Qwen

model-releasesr-stablediffusion
25 May 2026
Research

Commutator-Induced Uncertainty in VAEs

DGX agent

arXiv:2605.23449v1 Announce Type: cross Abstract: Variational autoencoders (VAEs) often struggle to represent non-commutative structure in learned latent spaces. Symmetry-aware VAEs commonly address t

researcharxiv-cs-cv
25 May 2026
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