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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
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Knowledge catalogue

Search: “benchmark”

GridTimelineEvolution
30,250 results
Research

Parallel Recursive LSTM

DGX agent

arXiv:2605.17108v1 Announce Type: new Abstract: Transformers have become the dominant architecture for sequence modeling by using self-attention to enable expressive and highly parallel processing. Ho

researcharxiv-cs-lg
19 May 2026
Research

Patch-MoE Mamba: A Patch-Ordered Mixture-of-Experts State Space Architecture for Medical Image Segmentation

DGX agent
DGX agent

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arXiv:2605.17719v1 Announce Type: new Abstract: CNN- and Transformer-based architectures have achieved strong performance in medical image segmentation, but CNNs are limited in modeling long-range dep

researcharxiv-cs-cv
19 May 2026
Safety

Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Sign

DGX agent

arXiv:2605.16452v1 Announce Type: cross Abstract: Accurate peak detection across diverse cardiac physiological signals, including the Electrocardiogram (ECG), Photoplethysmogram (PPG), Ballistocardiog

safetyarxiv-cs-ai
19 May 2026
Research

Perception-based Image Denoising via Generative Compression

DGX agent

arXiv:2602.11553v2 Announce Type: replace-cross Abstract: Image denoising aims to remove noise while preserving structural details and perceptual realism, yet distortion-driven methods often produce o

researcharxiv-cs-ai
19 May 2026
Model Releases

PERL: Parameter Efficient Reasoning in CLIP Latent Space

DGX agent

arXiv:2605.18464v1 Announce Type: new Abstract: Contrastively trained vision-language models such as CLIP provide strong zero-shot transfer by aligning images and text in a shared embedding space. How

model-releasesarxiv-cs-cv
19 May 2026
Tutorials

PersonaDual: Balancing Personalization and Objectivity via Adaptive Reasoning

DGX agent

arXiv:2601.08679v3 Announce Type: replace Abstract: As users increasingly expect LLMs to align with their preferences, personalized information becomes valuable. However, personalized information can

tutorialsarxiv-cs-ai
19 May 2026
Model Releases

PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting

DGX agent

arXiv:2605.16449v1 Announce Type: cross Abstract: Deep forecasting models often suffer from attenuated periodic perception and entangled trend-noise representations as network depth increases. Moreove

model-releasesarxiv-cs-ai
19 May 2026
Safety

PH-Dreamer: A Physics-Driven World Model via Port-Hamiltonian Generative Dynamics

DGX agent

arXiv:2605.18303v1 Announce Type: cross Abstract: World models built on recurrent state space architectures enable efficient latent imagination, yet remain physically unstructured, producing dynamics

safetyarxiv-cs-ai
19 May 2026
Research

Physics-Guided Geometric Diffusion for Macro Placement Generation

DGX agent

arXiv:2605.16451v1 Announce Type: cross Abstract: Macro placement is a pivotal stage in VLSI physical design, fundamentally determining the overall chip performance. Recent data-driven placement metho

researcharxiv-cs-ai
19 May 2026
Safety

Position: Age Estimation Models Do Not Process Biometric Data

DGX agent

arXiv:2605.17347v1 Announce Type: cross Abstract: When a neural network estimates someone's age from a photograph, does it process biometric data? The answer depends on whether identity-discriminative

safetyarxiv-cs-cv
19 May 2026
Model Releases

Position: AI Evaluations Should be Grounded on a Theory of Capability

DGX agent

arXiv:2509.19590v2 Announce Type: replace Abstract: Evaluations of generative models are now ubiquitous, and their outcomes critically shape public and scientific expectations of AI's capabilities. Ye

model-releasesarxiv-cs-ai
19 May 2026
Agents

Position: Universal Time Series Foundation Models Rest on a Category Error

DGX agent

arXiv:2602.05287v2 Announce Type: replace Abstract: This position paper argues that the pursuit of 'Universal Foundation Models for Time Series' rests on a fundamental category error, mistaking a stru

agentsarxiv-cs-ai
19 May 2026
Model Releases

Post-Trained MoE Can Skip Half Experts via Self-Distillation

DGX agent

arXiv:2605.18643v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) scales language models efficiently through sparse expert activation, and its dynamic variant further reduces computation by a

model-releasesarxiv-cs-ai
19 May 2026
Research

Predictive Prefetching for Retrieval-Augmented Generation

DGX agent

arXiv:2605.17989v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) improves factual grounding in large language models but suffers from substantial latency due to synchronous retri

researcharxiv-cs-ai
19 May 2026
Research

Preference Instability in Reward Models: Detection and Mitigation via Sparse Autoencoders

DGX agent

arXiv:2605.16339v1 Announce Type: new Abstract: Preference learning in large language models relies on reward models as proxies for human judgment. However, these models frequently exhibit preference

researcharxiv-cs-lg
19 May 2026
Research

Prefix-Adaptive Block Diffusion for Efficient Document Recognition

DGX agent

arXiv:2605.16861v1 Announce Type: cross Abstract: Block Diffusion Models (BDMs) support parallel generation, flexible-length output, and KV caching, making them promising for efficient document parsin

researcharxiv-cs-ai
19 May 2026
Safety

Presupposition and Reasoning in Conditionals: A Theory-Based Study of Humans and LLMs

DGX agent

arXiv:2605.18352v1 Announce Type: new Abstract: Presupposition projection in conditionals is central to theories of meaning and pragmatics, yet it remains largely unevaluated in large language models.

safetyarxiv-cs-cl
19 May 2026
Research

ProtoFlow: Mitigating Forgetting in Class-Incremental Remote Sensing Segmentation via Low-Curvature Prototype Flow

DGX agent

arXiv:2604.03212v2 Announce Type: replace Abstract: Remote sensing segmentation in real deployment is inherently continual: new semantic categories emerge, and acquisition conditions shift across seas

researcharxiv-cs-cv
19 May 2026
Safety

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting

DGX agent

arXiv:2605.16793v1 Announce Type: new Abstract: Time series forecasting under non-stationarity faces a fundamental tension between capturing stable representations and adapting to distribution shifts.

safetyarxiv-cs-lg
19 May 2026
Model Releases

QLIF-CAST: Quantum Leaky-Integrate-and-Fire for Time-Series Weather Forecasting

DGX agent

arXiv:2605.18333v1 Announce Type: cross Abstract: Accurate and efficient time-series forecasting remains a challenging problem for both classical and quantum neural architectures, particularly in mult

model-releasesarxiv-cs-lg
19 May 2026
Applications

QuChaTeR: A Hybrid Quantum-Chaotic Temporal Framework for Earthquake Prediction

DGX agent

arXiv:2605.16454v1 Announce Type: new Abstract: Seismic prediction remains challenging due to the highly nonlinear and chaotic dynamics of earthquake signals. While classical deep learning models such

applicationsarxiv-cs-lg
19 May 2026
Model Releases

QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation

DGX agent

arXiv:2512.19134v2 Announce Type: replace Abstract: Dynamic Retrieval-Augmented Generation adaptively determines when to retrieve during generation to mitigate hallucinations in large language models

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

Query-Aware Learnable Graph Pooling Tokens as Prompt for Large Language Models

DGX agent

arXiv:2501.17549v2 Announce Type: replace Abstract: Graph-structured data plays a vital role in numerous domains, such as social networks, citation networks, commonsense reasoning graphs and knowledge

model-releasesarxiv-cs-cl
19 May 2026
Safety

Rad-VLSM: A Cross-Modal Framework with Semantics-Assisted Prompting for Medical Segmentation and Diagnosis

DGX agent

arXiv:2605.18130v1 Announce Type: new Abstract: Medical image segmentation is more clinically valuable when it supports diagnosis rather than merely producing lesion masks. However, diagnostically rel

safetyarxiv-cs-cv
19 May 2026
Model Releases

Radial-Angular Geometry for Reliable Update Diagnosis in Noisy-Label Learning

DGX agent

arXiv:2605.17429v1 Announce Type: cross Abstract: Noisy-label methods often estimate sample reliability from forward-space signals such as loss, confidence, or entropy. These signals indicate whether

model-releasesarxiv-cs-cv
19 May 2026
Tutorials

RadJEPA: Radiology Encoder for Chest X-Rays via Joint Embedding Predictive Architecture

DGX agent

arXiv:2601.15891v2 Announce Type: replace Abstract: Recent advances in medical vision language models guide the learning of visual representations; however, this form of supervision is constrained by

tutorialsarxiv-cs-cv
19 May 2026
Safety

Randomized Advantage Transformation (RAT): Computing Natural Policy Gradients via Direct Backpropagation

DGX agent

arXiv:2605.18591v1 Announce Type: cross Abstract: Natural policy gradients improve optimization by accounting for the geometry of distribution space, but their practical use is limited by the cost of

safetyarxiv-cs-ai
19 May 2026
Safety

Ranking-Aware Calibration for Reliable Multimodal Reinforcement Learning

DGX agent

arXiv:2605.16999v1 Announce Type: new Abstract: Reinforcement learning post-training has substantially improved the reasoning accuracy of vision-language models, yet the resulting policies remain poor

safetyarxiv-cs-lg
19 May 2026
Local Ai

RAPT: Retrieval-Augmented Post-hoc Thresholding for Multi-Label Classification

DGX agent

arXiv:2605.16535v1 Announce Type: cross Abstract: Industrial multi-label document understanding pipelines score candidate labels and threshold or rank them to form a label set per document. This early

local-aiarxiv-cs-ai
19 May 2026
Safety

RAVE: Re-Allocating Visual Attention in Large Multimodal Models

DGX agent

arXiv:2605.18359v1 Announce Type: new Abstract: Large multimodal models (LMMs) inherit the self-attention mechanism of pretrained language backbones, yet standard attention can exhibit suboptimal allo

safetyarxiv-cs-cv
19 May 2026
Safety

Reasoning Before Diagnosis: Physician-Inspired Structured Thinking for ECG Classification

DGX agent

arXiv:2605.17308v1 Announce Type: new Abstract: Electrocardiogram (ECG) diagnosis in clinical practice relies on structured reasoning over multiple hierarchical aspects, including cardiac rhythm, cond

safetyarxiv-cs-ai
19 May 2026
Model Releases

ReBaR: Reference-Based Reasoning for Robust Pose Estimation from Monocular Images

DGX agent

arXiv:2303.11675v3 Announce Type: replace Abstract: R}easoning for Robust Human Pose and Shape Estimation), designed to estimate human body shape and pose from single-view images. ReBaR effectively ad

model-releasesarxiv-cs-cv
19 May 2026
Safety

REC-RL: Referring expression counting via Gaussian and range-based reward optimization

DGX agent

arXiv:2605.16460v1 Announce Type: new Abstract: Referring expression counting (REC) is an intention-driven task that requires context-aware visual reasoning. While recent vision-language models incorp

safetyarxiv-cs-cv
19 May 2026
Safety

Reducing Credit Assignment Variance via Counterfactual Reasoning Paths

DGX agent

arXiv:2605.16302v1 Announce Type: cross Abstract: Reinforcement learning for multi-step reasoning with large language models (LLMs) often relies on sparse terminal rewards, leading to poor credit assi

safetyarxiv-cs-ai
19 May 2026
Applications

Reducing Hallucination in Vision-Language Models via Stage-wise Preference Optimization under Distribution Shift

DGX agent

arXiv:2605.16411v1 Announce Type: cross Abstract: Hallucination remains a fundamental challenge in vision-language models (VLMs), where autoregressive generation may produce linguistically plausible y

applicationsarxiv-cs-ai
19 May 2026
Model Releases

Residual Semantic Decomposition of Word Embeddings

DGX agent

arXiv:2605.17482v1 Announce Type: new Abstract: We introduce Residual Semantic Decomposition (RSD), a neural additive decomposition of word embeddings that balances embedding reconstruction with relat

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

Responsible Agentic AI Requires Explicit Provenance

DGX agent

arXiv:2605.17169v1 Announce Type: new Abstract: Agentic AI is rapidly proliferating across diverse real-world domains such as software engineering, yet public trust has not kept pace. The central reas

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

Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution

DGX agent

arXiv:2601.04855v2 Announce Type: replace-cross Abstract: Handling missing node features is a key challenge for deploying Graph Neural Networks (GNNs) in real-world domains such as healthcare and sens

model-releasesarxiv-cs-ai
19 May 2026
Applications

Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping

DGX agent

arXiv:2305.10721v2 Announce Type: replace-cross Abstract: Introduction: Long-term time series forecasting (LTSF) has gained significant attention in recent years. While various specialized designs exi

applicationsarxiv-cs-ai
19 May 2026
Model Releases

RIE-Greedy: Regularization-Induced Exploration for Contextual Bandits

DGX agent

arXiv:2603.11276v2 Announce Type: replace-cross Abstract: Real-world contextual bandit problems with complex reward models are often tackled with iteratively trained models, such as boosting trees. Ho

model-releasesarxiv-cs-lg
19 May 2026
Model Releases

RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards

DGX agent

arXiv:2509.21319v3 Announce Type: replace-cross Abstract: Reinforcement Learning with Human Feedback (RLHF) and Reinforcement Learning with Verifiable Rewards (RLVR) are the main RL paradigms used in

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

SafeLens: Deliberate and Efficient Video Guardrails with Fast-and-Slow Screening

DGX agent

arXiv:2605.17610v1 Announce Type: cross Abstract: The rapid growth of online video platforms and AI-generated content has made reliable video guardrails a key challenge for safety and real-world deplo

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

SAM 2++: Tracking Anything at Any Granularity

DGX agent

arXiv:2510.18822v4 Announce Type: replace Abstract: Due to the varying granularity of target states across different tasks, most existing trackers are tailored to a single task, which specificity limi

model-releasesarxiv-cs-cv
19 May 2026
Applications

SC3D: Dynamic and Differentiable Causal Discovery for Temporal and Instantaneous Graphs

DGX agent

arXiv:2602.02830v3 Announce Type: replace Abstract: Discovering causal structures from multivariate time series is a key problem because interactions span across multiple lags and possibly involve ins

applicationsarxiv-cs-lg
19 May 2026
Research

Scalable Environments Drive Generalizable Agents

DGX agent

arXiv:2605.18181v1 Announce Type: new Abstract: Generalizable agents should adapt to diverse tasks and unseen environments beyond their training distribution. This position paper argues that such gene

researcharxiv-cs-ai
19 May 2026
Model Releases

Scheduling That Speaks: An Interpretable Programmatic Reinforcement Learning Framework

DGX agent

arXiv:2605.18454v1 Announce Type: cross Abstract: Deep reinforcement learning (DRL) has recently emerged as a promising approach to solve combinatorial optimization problems such as job shop schedulin

model-releasesarxiv-cs-ai
19 May 2026
Tutorials

scHelix: Asymmetric Dual-Stream Integration via Explicit Gene-Level Disentanglement

DGX agent

arXiv:2605.18576v1 Announce Type: new Abstract: A critical challenge in single-cell RNA sequencing (scRNA-seq) integration is resolving the tension between eliminating batch effects and maintaining bi

tutorialsarxiv-cs-lg
19 May 2026
Research

Scientific Logicality Enriched Methodology for LLM Reasoning: A Practice in Physics

DGX agent

arXiv:2605.17104v1 Announce Type: new Abstract: With the continuous advancement of reasoning abilities in Large Language Models (LLMs), their application to scientific reasoning tasks has gained signi

researcharxiv-cs-ai
19 May 2026
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