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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

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

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127,664 results
30 Sept 2026

Which uncesored model smaller than Qwen3.8 27B?

Model ReleasesDGX agent

Hi, I’m using Qwen3.8 27B in my vulnerability scanner, it does scan JS files, tries to generate exploits etc. I’m using uncensored version, the model is like 21GB. Running it on Mac M4 Pro 64GB ram, i

Who Warmed the Archives? LLMs Overestimate Historical Warmth

Model ReleasesDGX agent

arXiv:2609.37499v1 Announce Type: new Abstract: Historical archives are an under-used source for extending the instrumental climate record backward in time, and LLMs offer a way to extract the indices

Why Adaptive Optimizers Underestimate Rare Tokens

SafetyDGX agent

arXiv:2609.37535v1 Announce Type: new Abstract: In the softmax output layer, a rare token receives a small positive logit gradient on most steps and a much larger negative gradient on the few steps wh

Human
DGX agent

Content type
AllBlogX PostPaperYouTubeRedditGitHub

Why Backdooring Neural Networks is so Easy?

ResearchDGX agent

arXiv:2609.36117v1 Announce Type: new Abstract: Securing modern AI systems against backdoor attacks remains an open challenge and requires fundamentally principled estimates of the adversary's budget

Why Cross-Skeleton Retargeting Is Non-Identifiable: Structural Limits of Generative Motion Models

TutorialsDGX agent

arXiv:2609.37297v1 Announce Type: new Abstract: Cross-skeleton motion generation trains generative models to carry action structure and motion intention from one body to another. Yet a target motion t

Why MLLMs Struggle to Count: Overcoming Individuation and Aggregation Bottlenecks with ConvStack

Local AiDGX agent

arXiv:2609.37096v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) consistently struggle with fine-grained visual counting, yet the underlying causes remain poorly understood. In

Width Expansion as a Method for Class Incremental Learning

TutorialsDGX agent

arXiv:2609.37702v1 Announce Type: cross Abstract: Class Incremental Learning (Class-IL) requires models to learn new classes over time while preserving previously acquired knowledge without access to

WINGS: Reference-Free Gaussian Splatting Inpainting with 3D-Native Generative Priors

ResearchDGX agent

arXiv:2609.37816v1 Announce Type: new Abstract: Inpainting 3D Gaussian Splatting scenes, a key challenge in 3D editing, requires generating plausible content within a masked region of 3D space. Prior

WISE-ATTA: When to Ask for Labels in Budgeted Active Test-Time Adaptation

ResearchDGX agent

arXiv:2609.37687v1 Announce Type: new Abstract: Active test-time adaptation (ATTA) improves robustness under distribution shift by updating a deployed model during inference while selectively querying

WitnessGym: Benchmarking Coding Agents on the Construction of Bug Witnesses

Model ReleasesDGX agent

arXiv:2609.36635v1 Announce Type: cross Abstract: Bug validation asks a coding agent to produce an executable witness for a reported bug. The witness combines a concrete input with a testing harness a

World2Motion: Turning Video World Models into 3D Human Motion Generators

Model ReleasesDGX agent

arXiv:2609.37004v1 Announce Type: new Abstract: We present World2Motion, a framework that generates scene-aware 3D human motion and corresponding video from a single image and a text prompt. While exi

World4Scorer: Outcome-Grounded World Modeling for Autonomous Driving

Model ReleasesDGX agent

arXiv:2609.36438v1 Announce Type: new Abstract: Autonomous driving requires choosing a safe and efficient plan as surrounding traffic evolves. Generate-and-select planners propose multiple trajectorie

WorldLine: Action-Driven Visual Simulation for Robotic Manipulation

SafetyDGX agent

arXiv:2609.38059v1 Announce Type: cross Abstract: Real-world robot learning is constrained by the cost of collecting experience and evaluating candidate behaviors. Video generation models offer a scal

Wrench-ACT: Enhancing Robot Policies for Contact Rich Behavior Using Direct Wrench Control

SafetyDGX agent

arXiv:2609.37552v1 Announce Type: new Abstract: While contact-rich manipulation requires deliberate regulation of interaction forces, recent approaches to robot manipulation learning predominantly rep

WUSH-KV: KV Cache Quantization with Data-Adaptive Transforms

ResearchDGX agent

arXiv:2609.38121v1 Announce Type: new Abstract: KV cache memory and bandwidth costs grow with context length and batch size, which limits efficient long-context inference. To address this bottleneck,

Xiaomi-OCR-0 Technical Report

ResearchDGX agent

arXiv:2609.36136v1 Announce Type: new Abstract: Compact OCR-specific vision-language models achieve strong document parsing performance, but often rely on costly supervision and focus primarily on vis

XU-RS: Explaining Credal Width in Random-Set Language Models

Model ReleasesDGX agent

arXiv:2609.37594v1 Announce Type: new Abstract: Uncertainty estimates tell us how unsure a model is, but not why. Without knowing which parts of an input influences a model's uncertainty, we cannot te

🚨 Yesterday, the 'White House Accord on Super Intelligence' was signed. What was supposed to be about AI safety and accountability was inst…

SafetyDGX agent

🚨 Yesterday, the 'White House Accord on Super Intelligence' was signed. What was supposed to be about AI safety and accountability was instead a PROBLEMATIC endorsement of self-regulation. My comments

You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference

SafetyDGX agent

arXiv:2609.37902v1 Announce Type: new Abstract: Existing LLM routers choose among models using static per-model costs. We show that open-weight inference markets introduce a second, largely ignored de

You Cannot Recover What Was Never Measured: Quantifying the Information Ceiling of Ultra-Low-Field MRI Super-Resolution

Model ReleasesDGX agent

arXiv:2609.36837v1 Announce Type: new Abstract: Generative super-resolution models can turn portable 64 mT MRI into images that look like 3T scans, and the field evaluates them with PSNR, SSIM, and pi

You Only Reprogram Once: Rethinking Prolonged Training for Visual Reprogramming

Model ReleasesDGX agent

arXiv:2609.36661v1 Announce Type: new Abstract: Visual reprogramming is a parameter-efficient method for adapting pretrained models, yet its training can remain computationally expensive: even with a

Your agent got the right answer. How much work did it take to get there? We worked with @NousResearch/@Teknium on a hands-on walkthrough of …

HardwareDGX agent

Your agent got the right answer. How much work did it take to get there? We worked with @NousResearch/@Teknium on a hands-on walkthrough of NVIDIA NeMo Relay to collect traces for Hermes Agent. Run tw

Your Benchmark Is Not Saturated: Reviving Multiple-Choice Evaluation with Answer Pooling

Model ReleasesDGX agent

arXiv:2609.37494v1 Announce Type: new Abstract: Multiple-choice benchmarks are cheap to grade and are running out of room, and the standard remedy, writing harder items, is slow and repeated for every

Zero-shot Dependency Parsing with Unsupervised Cross-Lingual Bootstrapping

Model ReleasesDGX agent

arXiv:2609.37883v1 Announce Type: new Abstract: Pre-trained language models (PLMs) with encoder-based architectures have shown impressive capabilities in zero-shot cross-lingual transfer for various l

Zero Sum SVD: Balancing Loss Sensitivity for Low Rank LLM Compression

ResearchDGX agent

arXiv:2602.02848v2 Announce Type: replace Abstract: Advances in large language models have driven strong performance across many tasks, but their memory and compute costs still hinder deployment. SVD-

ZeroDiff: Zero-Shot Time Series Reconstruction via Informed-Prior Diffusion

ApplicationsDGX agent

arXiv:2609.37078v1 Announce Type: new Abstract: Time series modeling increasingly demands high-quality supervision, yet target observations remain scarce - exogenous inputs are broadly available, but

29 Sept 2026

1501: Pope Alexander VI criticizes Gutenberg’s printing press safety “The art of printing can be of great service in so far as it furthers t…

SafetyDGX agent

1501: Pope Alexander VI criticizes Gutenberg’s printing press safety “The art of printing can be of great service in so far as it furthers the circulation of useful & tested books; but it can bring ab

3-D Emissions Mapping and Social Cost Estimation for US Domestic Aviation at West Coast Hubs

SafetyDGX agent

arXiv:2609.31686v1 Announce Type: new Abstract: Existing aviation emissions inventories lack accurate trajectory data for high-resolution social cost and health impact assessment. This paper develops

3D Point Tracking with State Space Models

Model ReleasesDGX agent

arXiv:2609.34035v1 Announce Type: new Abstract: Tracking any point of a dynamic scene in metric 3D - in absolute meters, not up to an unknown scale - underpins 3D and 4D reconstruction, robot navigati

3dgs-sc: a controlled static screen-content benchmark for 3d gaussian splatting

Model ReleasesDGX agent

arXiv:2609.31756v1 Announce Type: new Abstract: Does high image fidelity imply readable screen content in 3D Gaussian Splatting (3DGS)? We introduce 3DGS-SC, a controlled static screen-content dataset

4 insights from Dell’s AI Leadership Symposium: Cost and control reshape enterprise AI deployment strategy

ApplicationsDGX agent

Getting artificial intelligence into production has become the real test for enterprises. As the proof-of-concept phase ends, harder questions about cost, data and control are taking its place. That s

400+ LLM agents living in a 2004-era MMO server, all local on Qwen3-4B

Model ReleasesDGX agent

I wanted a fun way to visualize and stress-test a multi-agent ecosystem, so I pointed it at my favorite MMO (a vanilla-era private server emulator). Live view: https://design.kristiantalley.com/projec

50B+ MoEs with few active parameters, what's the sweet spot for intelligence, agent speed, and affordable fine-tuning?

Model ReleasesDGX agent

I’m building a Polish General purpose legal Model that drafts documents, answers questions using legal sources, and has enough coding ability to handle some automation. The workflow is very tool-heavy

A Cheap Verifier is Good Enough: LLM Post-training is Robust to Erroneous Rewards

Model ReleasesDGX agent

arXiv:2609.33467v1 Announce Type: new Abstract: When post-training large language models on tasks with semi-verifiable rewards, there are many factors (training steps, base model size, training order,

A Comparative Analysis of Attention versus State-Space Models for In-Context Learning

Model ReleasesDGX agent

arXiv:2609.32341v1 Announce Type: new Abstract: Transformers and state-space models (SSMs) are two prominent sequential learning architectures, yet their comparison remains largely empirical and exist

A Comparative Transfer-Learning Study of CNN Backbones for Partial Face Recognition on the SoF Dataset

ResearchDGX agent

arXiv:2609.31677v1 Announce Type: new Abstract: Face recognition is widely deployed in surveillance, access control, and forensic workflows, yet accuracy degrades sharply once the face is occluded by

A Computer Vision Approach to Visual Fraud Detection in Phishing Websites Using YOLOv8

ResearchDGX agent

arXiv:2609.34015v1 Announce Type: cross Abstract: Phishing remains one of the most common vectors for financial and identity fraud, and most detection systems still rely on inspecting a page's URL, HT

A Continuous-Time Reinforcement Learning Framework for Fine-Tuning Discrete Diffusion Models

SafetyDGX agent

arXiv:2607.14522v2 Announce Type: replace Abstract: We formulate reinforcement learning (RL) in continuous time with discrete state spaces and possibly arbitrary action spaces via a stochastic control

A Disk-Shaped Magnetoelastic Torque Sensor for Robotic Joints Using Permanent Magnetization

ResearchDGX agent

arXiv:2609.33542v1 Announce Type: new Abstract: Direct torque sensing is a growing need in the robotics community to enable precise control and interactions where torque estimation from motor current

A family of graph GOSPA metrics for graphs with different sizes

ApplicationsDGX agent

arXiv:2506.17316v2 Announce Type: replace-cross Abstract: This paper proposes a family of graph metrics for measuring distances between graphs of different sizes. The proposed metric family defines a

A Free Knob: Decoupling Calibration and Predictive Skill in Threshold-Based Evaluation

Model ReleasesDGX agent

arXiv:2609.33457v1 Announce Type: new Abstract: Many dense-prediction benchmarks evaluate rare events by pooling prediction and target over spatial blocks, thresholding each, and scoring the contingen

A Function-Level Vulnerability Score Measures Flag Rate More Than the Model: Protocol Effects on Paired Benchmarks

Model ReleasesDGX agent

arXiv:2609.32890v1 Announce Type: new Abstract: Language models are increasingly evaluated as vulnerability detectors, and scores reported for similar models differ widely between papers. We measured

A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation

ApplicationsDGX agent

arXiv:2510.26184v2 Announce Type: replace Abstract: Public resource allocation involves distributing resources, including urban infrastructure, energy, and transportation, which are typically limited

A Hierarchy of Entropy-Shapley Games for Multivariate Predictive Uncertainty

ResearchDGX agent

arXiv:2609.35217v1 Announce Type: cross Abstract: Modern probabilistic machine learning models increasingly produce multivariate outputs with complex dependence structure, from multi-step time-series

A Journey to the Edge of Stability

SafetyDGX agent

arXiv:2609.32290v1 Announce Type: new Abstract: It has recently been found that deep learning often occurs at the 'edge of stability (EoS),' where the maximum Hessian eigenvalue of the model is stabil

A Kernel-based Stochastic Approximation Framework for Nonlinear Operator Learning

ResearchDGX agent

arXiv:2509.11070v4 Announce Type: replace-cross Abstract: We develop a stochastic approximation framework for learning nonlinear operators between infinite-dimensional spaces utilizing general Mercer

A Large-Scale Benchmark and Risk Assessment of Traffic Analysis Attacks on Cloud LLM Services

Model ReleasesDGX agent

arXiv:2609.31877v1 Announce Type: cross Abstract: Cloud-based Large language model (LLM) services create a network-level traffic side channel that can expose model, prompt, and task behavior despite e

A Light Bilevel Refinement Aligns Self-Supervised Representations for Stronger Task-Specific Learning

Model ReleasesDGX agent

arXiv:2609.33424v1 Announce Type: cross Abstract: Self-supervised pretraining learns representations that are broadly transferable across downstream tasks, yet direct fine-tuning can be suboptimal due

A Multi-Dataset Benchmark of YOLO-Based Weed Detection in Precision Agriculture

Model ReleasesDGX agent

arXiv:2609.33991v1 Announce Type: new Abstract: Weed detection is an important component of precision agriculture, enabling site-specific weed management and reducing unnecessary herbicide use. Althou

A multi-modal tactile fingertip design for robotic hands to enhance dexterous manipulation

ApplicationsDGX agent

arXiv:2510.05382v2 Announce Type: replace Abstract: Tactile sensing is critical for enhancing manipulation precision and versatility, but its adoption in robotic hands remains limited due to high sens

A Multimodal Autonomic Sensing Framework for Objective Assessment of Patient Responses to Dental Pulp Stimulation

ResearchDGX agent

arXiv:2609.35121v1 Announce Type: new Abstract: Patient responses to dental pulp testing, ranging from no sensation to intense pain, provide important information for assessing pulp status in endodont

A Multimodal Feature Distillation with Mamba-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities

ResearchDGX agent

arXiv:2404.14019v3 Announce Type: replace Abstract: Existing brain tumor segmentation methods usually utilize multiple Magnetic Resonance Imaging (MRI) modalities in brain tumor images for segmentatio

A Novel Unified Approach to Deepfake Detection

ResearchDGX agent

arXiv:2601.03382v2 Announce Type: replace Abstract: Advancements in the field of AI are increasingly giving rise to various threats, one of the most prominent being the synthesis and misuse of deepfak

A profile of Mariano-Florentino Cuéllar, Anthropic's first global affairs chief, who had helped shape California's first AI safety law in 2025 (Brandon Pho/Mission Local)

Local AiDGX agent

Brandon Pho / Mission Local: A profile of Mariano-Florentino Cuéllar, Anthropic's first global affairs chief, who had helped shape California's first AI safety law in 2025 — In a hot and dry border to

A Solvable Theory of Pre-training Data Poisoning: Regime-Dependent Scaling Exponents

Local AiDGX agent

arXiv:2609.32288v1 Announce Type: new Abstract: Pre-training data poisoning of large language models is usually studied using targeted backdoors and their survival through safety post-training, which

A Spectral Theory of Compositional Learning

ResearchDGX agent

arXiv:2609.33708v1 Announce Type: new Abstract: How does compositional reasoning emerge during learning? We address this question by mathematically analyzing the learning dynamics of deep linear netwo

A Statistical Perspective on Knowledge Distillation: Foundations, Classical Methods, and Large Language Model Extensions

ResearchDGX agent

arXiv:2609.33727v1 Announce Type: cross Abstract: Knowledge Distillation (KD) has emerged as a vital paradigm for transferring the capabilities of high-capacity models to efficient ``student'' counter

A Surgical Foundation Model Reveals Task-Dependent Label Efficiency

Model ReleasesDGX agent

arXiv:2609.31821v1 Announce Type: new Abstract: Developing label-efficient models is a central challenge in surgical AI due to the high cost and scarcity of expert annotation. While self-supervised fo

A Survey on Efficient Vision-Language-Action Models

ResearchDGX agent

arXiv:2510.24795v3 Announce Type: replace Abstract: Vision-Language-Action models (VLAs) represent a significant frontier in embodied intelligence, aiming to bridge digital knowledge with physical-wor

A Survey on Reinforcement Learning Applications in SLAM

SafetyDGX agent

arXiv:2408.14518v3 Announce Type: replace-cross Abstract: Simultaneous localization and mapping (SLAM) allows a mobile robot or autonomous vehicle to build a map of an unknown environment while estima

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