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  • Model Releases36,904
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  • Tutorials4,817

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HumanDGX agent

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Clear filters
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: “papers”

GridTimelineEvolution
18,005 results
Applications

Making Logic a First-Class Citizen in Generative ML for Networking

DGX agent

arXiv:2506.23964v3 Announce Type: replace-cross Abstract: Generative ML models are increasingly popular in networking for tasks such as telemetry imputation, prediction, and synthetic trace generation

applicationsarxiv-cs-lg
1 May 2026
Model Releases
Content type
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters

NashPG: A Policy Gradient Method with Iteratively Refined Regularization for Finding Nash Equilibria

DGX agent

arXiv:2510.18183v2 Announce Type: replace Abstract: Finding Nash equilibria in two-player zero-sum imperfect-information games remains a central challenge in multi-agent reinforcement learning. Recent

model-releasesarxiv-cs-lg
1 May 2026
Research

Normativity and Productivism: Ableist Intelligence? A Degrowth Analysis of AI Sign Language Translation Tools for Deaf People

DGX agent

arXiv:2604.28125v1 Announce Type: new Abstract: Sign languages, of any geographical or accentual variation, understandably face continuous scrutiny under the ever present popularity of verbal dictatio

researcharxiv-cs-ai
1 May 2026
Research

On the Proper Treatment of Units in Surprisal Theory

DGX agent

arXiv:2604.28147v1 Announce Type: new Abstract: Surprisal theory links human processing effort to the predictability of an upcoming linguistic unit, but empirical work often leaves the notion of a uni

researcharxiv-cs-cl
1 May 2026
Safety

OpAgent: Operator Agent for Web Navigation

DGX agent

arXiv:2602.13559v2 Announce Type: replace Abstract: To fulfill user instructions, autonomous web agents must contend with the inherent complexity and volatile nature of real-world websites. Convention

safetyarxiv-cs-ai
1 May 2026
Research

Optimization before Evaluation: Evaluation with Unoptimised Prompts Can be Misleading

DGX agent

arXiv:2604.27637v1 Announce Type: new Abstract: Current Large Language Model (LLM) evaluation frameworks utilize the same static prompt template across all models under evaluation. This differs from t

researcharxiv-cs-ai
1 May 2026
Model Releases

People-Centred Medical Image Analysis

DGX agent

arXiv:2604.26991v1 Announce Type: cross Abstract: Recent advances in data-centric medical AI have produced highly accurate diagnostic systems, but the emphasis on data curation and performance metrics

model-releasesarxiv-cs-ai
1 May 2026
Local Ai

Policy-Governed LLM Routing with Intent Matching for Instrument Laboratories

DGX agent

arXiv:2604.26955v1 Announce Type: cross Abstract: AI tutoring systems in engineering labs face a tension between providing sufficient assistance and preserving learning opportunities. Existing systems

local-aiarxiv-cs-ai
1 May 2026
Safety

Policy-Grounded Safety Evaluation of 20 Large Language Models

DGX agent

arXiv:2507.14719v2 Announce Type: replace Abstract: As large language models (LLMs) become increasingly integrated into real-world applications, scalable and rigorous safety evaluation is essential. T

safetyarxiv-cs-ai
1 May 2026
Agents

Pragmos: A Process Agentic Modeling System

DGX agent

arXiv:2604.27311v1 Announce Type: cross Abstract: The advent of Large Language Models (LLMs) has significantly transformed tasks across Software Engineering. In the context of Business Process Managem

agentsarxiv-cs-ai
1 May 2026
Model Releases

PVeRA: Probabilistic Vector-Based Random Matrix Adaptation

DGX agent

arXiv:2512.07703v2 Announce Type: replace Abstract: Large foundation models have emerged in the last years and are pushing performance boundaries for a variety of tasks. Training or even finetuning su

model-releasesarxiv-cs-cv
1 May 2026
Research

Qualitative Evaluation of Language Model Rescoring in Automatic Speech Recognition

DGX agent

arXiv:2604.27533v1 Announce Type: new Abstract: Evaluating automatic speech recognition (ASR) systems is a classical but difficult and still open problem, which often boils down to focusing only on th

researcharxiv-cs-cl
1 May 2026
Tutorials

Quantum Masked Autoencoders for Vision Learning

DGX agent

arXiv:2511.17372v2 Announce Type: replace-cross Abstract: Classical autoencoders are widely used to learn features of input data. To improve the feature learning, classical masked autoencoders extend

tutorialsarxiv-cs-ai
1 May 2026
Safety

Real-Time GPU-Accelerated Monte Carlo Evaluation of Safety-Critical AEB Systems Under Uncertainty

DGX agent

arXiv:2604.27193v1 Announce Type: new Abstract: Automatic Emergency Braking (AEB) systems represent a safety-critical national interest, with the National Highway Traffic Safety Administration (NHTSA)

safetyarxiv-cs-ro
1 May 2026
Agents

Rethinking Agentic Reinforcement Learning In Large Language Models

DGX agent

arXiv:2604.27859v1 Announce Type: new Abstract: Reinforcement Learning (RL) has traditionally focused on training specialized agents to optimize predefined reward functions within narrowly defined env

agentsarxiv-cs-ai
1 May 2026
Research

Revealing the Impact of Visual Text Style on Attribute-based Descriptions Produced by Large Visual Language Models

DGX agent

arXiv:2604.27553v1 Announce Type: new Abstract: When the visual style of text is considered, a wide variety can be observed in font, color, and size. However, when a word is read, its meaning is indep

researcharxiv-cs-cv
1 May 2026
Safety

Robot Learning from Human Videos: A Survey

DGX agent

arXiv:2604.27621v1 Announce Type: cross Abstract: A critical bottleneck hindering further advancement in embodied AI and robotics is the challenge of scaling robot data. To address this, the field of

safetyarxiv-cs-cv
1 May 2026
Applications

Robot Planning and Situation Handling with Active Perception

DGX agent

arXiv:2604.26988v1 Announce Type: new Abstract: Current robots are capable of computing plans to accomplish complex tasks. However, real-world environments are inherently open and dynamic, and unfores

applicationsarxiv-cs-ro
1 May 2026
Research

Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection

DGX agent

arXiv:2604.27617v1 Announce Type: cross Abstract: With the widespread application of Unmanned Aerial Vehicles (UAVs) in bridge structural health monitoring, deep learning-based automatic crack detecti

researcharxiv-cs-ai
1 May 2026
Research

RopeDreamer: A Kinematic Recurrent State Space Model for Dynamics of Flexible Deformable Linear Objects

DGX agent

arXiv:2604.28161v1 Announce Type: new Abstract: The robotic manipulation of Deformable Linear Objects (DLOs) is a fundamental challenge due to the high-dimensional, non-linear dynamics of flexible str

researcharxiv-cs-ro
1 May 2026
Agents

Self-Evolving Software Agents

DGX agent

arXiv:2604.27264v1 Announce Type: cross Abstract: Autonomous agents can adapt their behaviour to changing environments, but remain bound to requirements, goals, and capabilities fixed at design time,

agentsarxiv-cs-ai
1 May 2026
Model Releases

State-Dependent Lyapunov Method for Rank-1 Matrix Factorization

DGX agent

arXiv:2604.26993v1 Announce Type: cross Abstract: We study gradient descent for rank-1 matrix factorization through a certificate-based viewpoint. The central object is a parameterized quadratic certi

model-releasesarxiv-cs-lg
1 May 2026
Research

Student Classroom Behavior Recognition Based on Improved YOLOv8s

DGX agent

arXiv:2604.27293v1 Announce Type: new Abstract: In classroom teaching, student behavior can reflect their learning state and classroom participation, which is of great significance for teaching qualit

researcharxiv-cs-cv
1 May 2026
Research

Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning

DGX agent

arXiv:2604.27833v1 Announce Type: new Abstract: Prototype-based Personalized Federated Learning (ProtoPFL) enables efficient multi-domain adaptation by communicating compact class prototypes, but dire

researcharxiv-cs-cv
1 May 2026
Safety

Taxon: Hierarchical Tax Code Prediction with Semantically Aligned LLM Expert Guidance

DGX agent

arXiv:2601.08418v2 Announce Type: replace-cross Abstract: Tax code prediction is a crucial yet underexplored task in automating invoicing and compliance management for large-scale e-commerce platforms

safetyarxiv-cs-ai
1 May 2026
Safety

Test Before You Deploy: Governing Updates in the LLM Supply Chain

DGX agent

arXiv:2604.27789v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used as core dependencies in software systems. However, the hosted LLM services evolve continuously thro

safetyarxiv-cs-ai
1 May 2026
Safety

The Effects of Visual Priming on Cooperative Behavior in Vision-Language Models

DGX agent

arXiv:2604.27953v1 Announce Type: new Abstract: As Vision-Language Models (VLMs) become increasingly integrated into decision-making systems, it is essential to understand how visual inputs influence

safetyarxiv-cs-ai
1 May 2026
Model Releases

To Build or Not to Build? Factors that Lead to Non-Development or Abandonment of AI Systems

DGX agent

arXiv:2604.28053v1 Announce Type: cross Abstract: Responsible AI research typically focuses on examining the use and impacts of deployed AI systems. Yet, there is currently limited visibility into the

model-releasesarxiv-cs-ai
1 May 2026
Research

To Diff or Not to Diff? Structure-Aware and Adaptive Output Formats for Efficient LLM-based Code Editing

DGX agent

arXiv:2604.27296v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used for code editing, yet the prevalent full-code generation paradigm suffers from severe efficiency bo

researcharxiv-cs-cl
1 May 2026
Safety

Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles

DGX agent

arXiv:2604.28087v1 Announce Type: cross Abstract: Rule-based systems remain central in safety-critical domains but often struggle with scalability, brittleness, and goal misspecification. These limita

safetyarxiv-cs-ai
1 May 2026
Model Releases

TripVVT: A Large-Scale Triplet Dataset and a Coarse-Mask Baseline for In-the-Wild Video Virtual Try-On

DGX agent

arXiv:2604.27958v1 Announce Type: new Abstract: Due to the scarcity of large-scale in-the-wild triplet data and the improper use of masks, the performance of video virtual try-on models remains limite

model-releasesarxiv-cs-cv
1 May 2026
Research

TypeBandit: Type-Level Context Allocation and Reweighting for Effective Attribute Completion in Heterogeneous Graph Neural Networks

DGX agent

arXiv:2604.27356v1 Announce Type: cross Abstract: Heterogeneous graphs are widely used to model multi-relational systems, but missing node attributes remain a major bottleneck for downstream learning.

researcharxiv-cs-ai
1 May 2026
Research

Uncertainty Quantification Framework for Aerial and UAV Photogrammetry through Error Propagation

DGX agent

arXiv:2507.13486v2 Announce Type: replace Abstract: Uncertainty quantification of the photogrammetry process is essential for providing per-point accuracy credentials of the point clouds. Unlike airbo

researcharxiv-cs-cv
1 May 2026
Model Releases

What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design

DGX agent

arXiv:2604.28093v1 Announce Type: new Abstract: Terminal-agent benchmarks have become a primary signal for measuring the coding and system-administration capabilities of large language models. As the

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

When Roles Fail: Epistemic Constraints on Advocate Role Fidelity in LLM-Based Political Statement Analysis

DGX agent

arXiv:2604.27228v1 Announce Type: new Abstract: Democratic discourse analysis systems increasingly rely on multi-agent LLM pipelines in which distinct evaluator models are assigned adversarial roles t

model-releasesarxiv-cs-ai
1 May 2026
Research

YOSE: You Only Select Essential Tokens for Efficient DiT-based Video Object Removal

DGX agent

arXiv:2604.27322v1 Announce Type: new Abstract: Recent advances in Diffusion Transformer (DiT)-based video generation technologies have shown impressive results for video object removal. However, thes

researcharxiv-cs-cv
1 May 2026
Model Releases

A Multi-Dataset Benchmark of Multiple Instance Learning for 3D Neuroimage Classification

DGX agent

arXiv:2604.26807v1 Announce Type: new Abstract: Despite being resource-intensive to train, 3D convolutional neural networks (CNNs) have been the standard approach to classify CT and MRI scans. Recent

model-releasesarxiv-cs-lg
30 Apr 2026
Model Releases

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio

DGX agent

arXiv:2409.06624v4 Announce Type: replace-cross Abstract: Large Language Models (LLM) often need to be Continual Pre-Trained (CPT) to obtain unfamiliar language skills or adapt to new domains. The hug

model-releasesarxiv-cs-ai
30 Apr 2026
Agents

A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication

DGX agent

arXiv:2604.25972v1 Announce Type: cross Abstract: In multi-agent reinforcement learning (MARL), the integration of a communication mechanism, allowing agents to better learn to coordinate their action

agentsarxiv-cs-ai
30 Apr 2026
Safety

A Survey on the Safety and Security Threats of Computer-Using Agents: JARVIS or Ultron?

DGX agent

arXiv:2505.10924v4 Announce Type: replace-cross Abstract: Recently, AI-driven interactions with computing devices have advanced from basic prototype tools to sophisticated, LLM-based systems that emul

safetyarxiv-cs-ai
30 Apr 2026
Local Ai

Action Hints: Semantic Typicality and Context Uniqueness for Generalizable Skeleton-based Video Anomaly Detection

DGX agent

arXiv:2509.11058v2 Announce Type: replace Abstract: Zero-Shot Video Anomaly Detection (ZS-VAD) requires temporally localizing anomalies without target domain training data, which is a crucial task due

local-aiarxiv-cs-cv
30 Apr 2026
Model Releases

Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning

DGX agent

arXiv:2604.26340v1 Announce Type: new Abstract: LoRA-MoE has emerged as an effective paradigm for parameter-efficient fine-tuning, combining the low training cost of LoRA with the increased adaptation

model-releasesarxiv-cs-lg
30 Apr 2026
Research

Addressing Performance Saturation for LLM RL via Precise Entropy Curve Control

DGX agent

arXiv:2604.26326v1 Announce Type: cross Abstract: Reinforcement learning (RL) has unlocked complex reasoning abilities in large language models (LLMs). However, most RL algorithms suffer from performa

researcharxiv-cs-cl
30 Apr 2026
Model Releases

Affective Flow Language Model for Emotional Support Conversation

DGX agent

arXiv:2602.08826v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have been widely applied to emotional support conversation (ESC). However, complex multi-turn support remains cha

model-releasesarxiv-cs-ai
30 Apr 2026
Model Releases

Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Search Requests

DGX agent

arXiv:2601.17617v3 Announce Type: replace-cross Abstract: LLM-powered search agents are increasingly being used for multi-step information seeking tasks, yet the IR community lacks empirical understan

model-releasesarxiv-cs-cl
30 Apr 2026
Hardware

AHASD: Asynchronous Heterogeneous Architecture for LLM Adaptive Drafting Speculative Decoding on Mobile Devices

DGX agent

arXiv:2604.25326v2 Announce Type: replace-cross Abstract: Speculative decoding enhances the inference efficiency of large language models (LLMs) by generating drafts using a small draft language model

hardwarearxiv-cs-ai
30 Apr 2026
Model Releases

音声AIの素早さと賢さを両立できるか? 私たち人間は会話の中で、言いたいことを全部まとめてから話し始めるのではなく、話しながら考えを整理していきます。応答の速い Speech-to-Speech モデルは、この「話しながら考える」を実現しましたが、そのぶん思考が浅くなりがちです。…

DGX agent

音声AIの素早さと賢さを両立できるか? 私たち人間は会話の中で、言いたいことを全部まとめてから話し始めるのではなく、話しながら考えを整理していきます。応答の速い Speech-to-Speech モデルは、この「話しながら考える」を実現しましたが、そのぶん思考が浅くなりがちです。かといって知識豊富な LLM を挟むカスケード型では、遅延が生じるため「話しながら」が成立しません。 そこで Sakan

model-releasesdavid-ha--x
30 Apr 2026
Research

Asynchronous Federated Unlearning with Invariance Calibration for Medical Imaging

DGX agent

arXiv:2604.26809v1 Announce Type: new Abstract: Federated Unlearning (FU) is an emerging paradigm in Federated Learning (FL) that enables participating clients to fully remove their contributions from

researcharxiv-cs-lg
30 Apr 2026
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