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HumanDGX agent

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  • All entries84,588
  • Agents7,266
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  • Concepts5
  • Hardware1,756
  • Industry6,098
  • Local Ai4,730
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  • Research19,194
  • Safety12,816
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HumanDGX agent

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Knowledge catalogue

Search: “research”

GridTimelineEvolution
25,885 results
Research

Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models

DGX agent

arXiv:2512.02636v3 Announce Type: replace-cross Abstract: Log-likelihood evaluation enables important capabilities in generative models, including model comparison, certain fine-tuning objectives, and

researcharxiv-cs-cv
21 Apr 2026
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Paper
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Research

KaLDeX: Kalman Filter based Linear Deformable Cross Attention for Retina Vessel Segmentation

DGX agent

arXiv:2410.21160v2 Announce Type: replace-cross Abstract: Background and Objective: In the realm of ophthalmic imaging, accurate vascular segmentation is paramount for diagnosing and managing various

researcharxiv-cs-cv
21 Apr 2026
Hardware

Karpathy's autoresearch repo started an impressive trend. Agents can now train AI models to build SoTA agentic systems. And to think this is…

DGX agent

Karpathy's autoresearch repo started an impressive trend. Agents can now train AI models to build SoTA agentic systems. And to think this is just scratching the surface. Ultimately, it boils down to g

hardwareclem-delangue--x
21 Apr 2026
Research

Kevin Warsh just lost me. He argues he's going to be an independent Fed Chair, but refuses to acknowledge that Trump lost the 2020 election.…

DGX agent

Kevin Warsh just lost me. He argues he's going to be an independent Fed Chair, but refuses to acknowledge that Trump lost the 2020 election. If you can't state simple facts when you're in the politica

researchyann-lecun--x
21 Apr 2026
Research

L1 Regularization Paths in Linear Models by Parametric Gaussian Message Passing

DGX agent

arXiv:2604.16949v1 Announce Type: new Abstract: The paper considers the computation of L1 regularization paths in a state space setting, which includes L1 regularized Kalman smoothing, linear SVM, LAS

researcharxiv-cs-lg
21 Apr 2026
Research

LASER: Low-Rank Activation SVD for Efficient Recursion

DGX agent

arXiv:2604.17224v1 Announce Type: new Abstract: Recursive architectures such as Tiny Recursive Models (TRMs) perform implicit reasoning through iterative latent computation, yet the geometric structur

researcharxiv-cs-lg
21 Apr 2026
Research

Latent Abstraction for Retrieval-Augmented Generation

DGX agent

arXiv:2604.17866v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) has become a standard approach for enhancing large language models (LLMs) with external knowledge, mitigating hallu

researcharxiv-cs-cl
21 Apr 2026
Research

Latent-Compressed Variational Autoencoder for Video Diffusion Models

DGX agent

arXiv:2604.16479v1 Announce Type: new Abstract: Video variational autoencoders (VAEs) used in latent diffusion models typically require a sufficiently large number of latent channels to ensure high-qu

researcharxiv-cs-cv
21 Apr 2026
Research

Latent Phase-Shift Rollback: Inference-Time Error Correction via Residual Stream Monitoring and KV-Cache Steering

DGX agent

arXiv:2604.18567v1 Announce Type: cross Abstract: Large language models frequently commit unrecoverable reasoning errors mid-generation: once a wrong step is taken, subsequent tokens compound the mist

researcharxiv-cs-cl
21 Apr 2026
Research

LBFTI: Layer-Based Facial Template Inversion for Identity-Preserving Fine-Grained Face Reconstruction

DGX agent

arXiv:2604.18358v1 Announce Type: new Abstract: In face recognition systems, facial templates are widely adopted for identity authentication due to their compliance with the data minimization principl

researcharxiv-cs-cv
21 Apr 2026
Research

Learning residue level protein dynamics with multiscale Gaussians

DGX agent

arXiv:2509.01038v2 Announce Type: replace-cross Abstract: Many methods have been developed to predict static protein structures, however understanding the dynamics of protein structure is essential fo

researcharxiv-cs-lg
21 Apr 2026
Research

Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks

DGX agent

arXiv:2604.18507v1 Announce Type: cross Abstract: We propose a computational framework for replacing the repeated numerical solution of differential Riccati equations in finite-horizon Linear Quadrati

researcharxiv-cs-lg
21 Apr 2026
Research

Learning to Correct: Calibrated Reinforcement Learning for Multi-Attempt Chain-of-Thought

DGX agent

arXiv:2604.17912v1 Announce Type: new Abstract: State-of-the-art reasoning models utilize long chain-of-thought (CoT) to solve increasingly complex problems using more test-time computation. In this w

researcharxiv-cs-lg
21 Apr 2026
Research

Learning Unanimously Acceptable Lotteries via Queries

DGX agent

arXiv:2604.17505v1 Announce Type: cross Abstract: Many high-stakes AI deployments proceed only if every stakeholder deems the system acceptable relative to their own minimum standard. With randomizati

researcharxiv-cs-lg
21 Apr 2026
Research

全网都在吹的LeCun新论文,90%的解读都是错的。 他们说生成式AI是死路,说过去三年花的几百亿全白费了,说15M参数的小模型就能吊打万亿大模型。 这些全是营销号的夸张, 我觉得这篇论文的真正分量比他们吹的还要重。 Yann LeCun团队这次解决了JEPA困扰了好几年的表征坍…

DGX agent

全网都在吹的LeCun新论文,90%的解读都是错的。 他们说生成式AI是死路,说过去三年花的几百亿全白费了,说15M参数的小模型就能吊打万亿大模型。 这些全是营销号的夸张, 我觉得这篇论文的真正分量比他们吹的还要重。 Yann LeCun团队这次解决了JEPA困扰了好几年的表征坍缩问题。 以前的世界模型,学着学着就会把狗车人都压成一模一样的向量,什么都学不到。 这次他们只加了一个极其优雅的数学正则

researchyann-lecun--x
21 Apr 2026
Research

LEPO: nderline{L}atent Rnderline{e}asoning nderline{P}olicy nderline{O}ptimization for Large Language~Models

DGX agent

arXiv:2604.17892v1 Announce Type: new Abstract: Recently, latent reasoning has been introduced into large language models (LLMs) to leverage rich information within a continuous space. However, withou

researcharxiv-cs-lg
21 Apr 2026
Research

Leveraging Kernel Symmetry for Joint Compression and Error Mitigation in Edge Model Transfer

DGX agent

arXiv:2604.17371v1 Announce Type: cross Abstract: This paper investigates communication-efficient neural network transmission by exploiting structured symmetry constraints in convolutional kernels. In

researcharxiv-cs-lg
21 Apr 2026
Research

Leveraging VR Robot Games to Facilitate Data Collection for Embodied Intelligence Tasks

DGX agent

arXiv:2604.16903v1 Announce Type: new Abstract: Collecting embodied interaction data at scale remains costly and difficult due to the limited accessibility of conventional interfaces. We present a gam

researcharxiv-cs-ro
21 Apr 2026
Research

Light-Adapted Electroretinogram and Oscillatory Potentials (LEOPs) Dataset for Autism Spectrum Disorder and Typically Developing Individuals

DGX agent

arXiv:2604.16981v1 Announce Type: cross Abstract: The LEOPs (Light-ERG-Oscillatory Potentials) dataset provides light-adapted (LA) electroretinogram (ERG) and Oscillatory Potentials (OPs) waveforms fo

researcharxiv-cs-lg
21 Apr 2026
Research

Lil: Less is Less When Applying Post-Training Sparse-Attention Algorithms in Long-Decode Stage

DGX agent

arXiv:2601.03043v3 Announce Type: replace Abstract: Large language models (LLMs) demonstrate strong capabilities across a wide range of complex tasks and are increasingly deployed at scale, placing si

researcharxiv-cs-cl
21 Apr 2026
Research

Linear-Time and Constant-Memory Text Embeddings Based on Recurrent Language Models

DGX agent

arXiv:2604.18199v1 Announce Type: new Abstract: Transformer-based embedding models suffer from quadratic computational and linear memory complexity, limiting their utility for long sequences. We propo

researcharxiv-cs-cl
21 Apr 2026
Research

Linking Exteroception and Proprioception through Improved Contact Modeling for Soft Growing Robots

DGX agent

arXiv:2507.10694v2 Announce Type: replace Abstract: Passive deformation due to compliance is a commonly used benefit of soft robots, providing opportunities to achieve robust actuation with few active

researcharxiv-cs-ro
21 Apr 2026
Research

LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding

DGX agent

arXiv:2501.05067v3 Announce Type: replace Abstract: In this paper, we introduce LLaVA-Octopus, a novel video multimodal large language model. LLaVA-Octopus adaptively weights features from different v

researcharxiv-cs-cv
21 Apr 2026
Research

LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs

DGX agent

arXiv:2603.14937v2 Announce Type: replace-cross Abstract: Text-rich graphs, which integrate complex structural dependencies with abundant textual information, are ubiquitous yet remain challenging for

researcharxiv-cs-cl
21 Apr 2026
Research

LLM-AUG: Robust Wireless Data Augmentation with In-Context Learning in Large Language Models

DGX agent

arXiv:2604.17770v1 Announce Type: new Abstract: Data scarcity remains a fundamental bottleneck in applying deep learning to wireless communication problems, particularly in scenarios where collecting

researcharxiv-cs-lg
21 Apr 2026
Research

LLM Hypnosis: Exploiting User Feedback for Unauthorized Knowledge Injection to All Users

DGX agent

arXiv:2507.02850v3 Announce Type: replace Abstract: We describe a vulnerability in language models (LMs) trained with user feedback, whereby a single user can persistently alter LM knowledge and behav

researcharxiv-cs-cl
21 Apr 2026
Research

LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains

DGX agent

arXiv:2604.16379v1 Announce Type: cross Abstract: Industrial B2B applications (e.g., construction site risk prediction, material procurement) face extreme data sparsity yet feature rich textual intera

researcharxiv-cs-cl
21 Apr 2026
Research

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies

DGX agent

arXiv:2604.16935v1 Announce Type: cross Abstract: Scarce longitudinal evidence examines LLMs' persuasiveness and humanness along time-evolving psychological frameworks. We introduce Talk2AI, a longitu

researcharxiv-cs-lg
21 Apr 2026
Research

Local Inconsistency Resolution: The Interplay between Attention and Control in Probabilistic Models

DGX agent

arXiv:2604.17140v1 Announce Type: cross Abstract: We present a generic algorithm for learning and approximate inference with an intuitive epistemic interpretation: iteratively focus on a subset of the

researcharxiv-cs-lg
21 Apr 2026
Research

LogicDiff: Logic-Guided Denoising Improves Zero-Shot Reasoning in Masked Diffusion Language Models

DGX agent

arXiv:2603.26771v2 Announce Type: replace Abstract: Masked diffusion language models (MDLMs) generate text by iteratively unmasking tokens from a fully masked sequence. Their standard confidence-based

researcharxiv-cs-cl
21 Apr 2026
Research

LoRaQ: Optimized Low Rank Approximation for 4-bit Quantization

DGX agent

arXiv:2604.18117v1 Announce Type: new Abstract: Post-training quantization (PTQ) is essential for deploying large diffusion transformers on resource-constrained hardware, but aggressive 4-bit quantiza

researcharxiv-cs-lg
21 Apr 2026
Research

LoReC: Rethinking Large Language Models for Graph Data Analysis

DGX agent

arXiv:2604.17897v1 Announce Type: new Abstract: The advent of Large Language Models (LLMs) has fundamentally reshaped the way we interact with graphs, giving rise to a new paradigm called GraphLLM. As

researcharxiv-cs-lg
21 Apr 2026
Model Releases

Love this work from Aksel and the post-training team at Hugging Face! Turns out the HF ecosystem (papers, datasets, models all accessible th…

DGX agent

Love this work from Aksel and the post-training team at Hugging Face! Turns out the HF ecosystem (papers, datasets, models all accessible through CLI, skills and md files) is perfect for running SOTA

model-releasesclem-delangue--x
21 Apr 2026
Research

Low Light Image Enhancement Challenge at NTIRE 2026

DGX agent

arXiv:2604.17669v1 Announce Type: new Abstract: This paper presents a comprehensive review of the NTIRE 2026 Low Light Image Enhancement Challenge, highlighting the proposed solutions and final result

researcharxiv-cs-cv
21 Apr 2026
Research

Lower Bounds and Proximally Anchored SGD for Non-Convex Minimization Under Unbounded Variance

DGX agent

arXiv:2604.16620v1 Announce Type: new Abstract: Analysis of Stochastic Gradient Descent (SGD) and its variants typically relies on the assumption of uniformly bounded variance, a condition that freque

researcharxiv-cs-lg
21 Apr 2026
Research

LQM: Linguistically Motivated Multidimensional Quality Metrics for Machine Translation

DGX agent

arXiv:2604.18490v1 Announce Type: new Abstract: Existing MT evaluation frameworks, including automatic metrics and human evaluation schemes such as Multidimensional Quality Metrics (MQM), are largely

researcharxiv-cs-cl
21 Apr 2026
Research

LTRR: Learning To Rank Retrievers for LLMs

DGX agent

arXiv:2506.13743v2 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) systems typically rely on a single fixed retriever, despite growing evidence that no single retriever performs

researcharxiv-cs-cl
21 Apr 2026
Research

LVLMs and Humans Ground Differently in Referential Communication

DGX agent

arXiv:2601.19792v3 Announce Type: replace Abstract: For generative AI agents to partner effectively with human users, the ability to accurately predict human intent is critical. But this ability to co

researcharxiv-cs-cl
21 Apr 2026
Research

Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks

DGX agent

arXiv:2407.09514v3 Announce Type: replace-cross Abstract: Recently, metal-organic frameworks (MOFs) have demonstrated their potential as solid-state electrolytes in proton exchange membrane fuel cells

researcharxiv-cs-lg
21 Apr 2026
Research

Mapping Election Toxicity on Social Media across Issue, Ideology, and Psychosocial Dimensions

DGX agent

arXiv:2604.16765v1 Announce Type: cross Abstract: Online political hostility is pervasive, yet it remains unclear how toxicity varies across campaign issues and political ideology, and what psychosoci

researcharxiv-cs-cl
21 Apr 2026
Research

MARA: A Multimodal Adaptive Retrieval-Augmented Framework for Document Question Answering

DGX agent

arXiv:2604.16313v1 Announce Type: cross Abstract: Retrieval-based multimodal document QA aims to identify and integrate relevant information from visually rich documents with complex multimodal struct

researcharxiv-cs-cl
21 Apr 2026
Research

Matched-Learning-Rate Analysis of Attention Drift and Transfer Retention in Fine-Tuned CLIP

DGX agent

arXiv:2604.16410v1 Announce Type: new Abstract: CLIP adaptation can improve in-domain accuracy while degrading out-of-domain transfer, but comparisons between Full Fine-Tuning (Full FT) and LoRA are o

researcharxiv-cs-lg
21 Apr 2026
Research

Medial Axis Aware Learning of Signed Distance Functions

DGX agent

arXiv:2604.16512v1 Announce Type: new Abstract: We propose a novel variational method to compute a highly accurate global signed distance function (SDF) to a given point cloud. To this end, the jump s

researcharxiv-cs-cv
21 Apr 2026
Research

MegaRAG: Multimodal Knowledge Graph-Based Retrieval Augmented Generation

DGX agent

arXiv:2512.20626v2 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) enables large language models (LLMs) to dynamically access external information, which is powerful for an

researcharxiv-cs-cl
21 Apr 2026
Research

MetaCloak-JPEG: JPEG-Robust Adversarial Perturbation for Preventing Unauthorized DreamBooth-Based Deepfake Generation

DGX agent

arXiv:2604.18537v1 Announce Type: new Abstract: The rapid progress of subject-driven text-to-image synthesis, and in particular DreamBooth, has enabled a consent-free deepfake pipeline: an adversary n

researcharxiv-cs-cv
21 Apr 2026
Research

Mitigating Multimodal Hallucination via Phase-wise Self-reward

DGX agent

arXiv:2604.17982v1 Announce Type: cross Abstract: Large Vision-Language Models (LVLMs) still struggle with vision hallucination, where generated responses are inconsistent with the visual input. Exist

researcharxiv-cs-cl
21 Apr 2026
Research

MLE-UVAD: Minimal Latent Entropy Autoencoder for Fully Unsupervised Video Anomaly Detection

DGX agent

arXiv:2603.23868v2 Announce Type: replace Abstract: In this paper, we address the challenging problem of single-scene, fully unsupervised video anomaly detection (VAD), where raw videos containing bot

researcharxiv-cs-cv
21 Apr 2026
Research

Modeling Biomechanical Constraint Violations for Language-Agnostic Lip-Sync Deepfake Detection

DGX agent

arXiv:2604.16808v1 Announce Type: new Abstract: Current lip-sync deepfake detectors rely on pixel-level artifacts or audio-visual correspondence, failing to generalize across languages because these c

researcharxiv-cs-cv
21 Apr 2026
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