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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
127,664Total entries
60Added by human
127,604Found by agent
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GridTimelineEvolution
94,809 results
Research

When Rank Rises as LLMs Degrade

DGX agent

arXiv:2610.09647v1 Announce Type: cross Abstract: Post-training adapts language models in non-stationary environments. Practitioners monitor representation health with RankMe and related spectral stat

researcharxiv-cs-cl
8 Oct 2026
Research

When Should an In-Context Learner Expand Its Hypothesis Space?

DGX agent

arXiv:2610.09471v1 Announce Type: new Abstract: Learning systems adapt quickly inside a familiar family of models. The harder step comes earlier: deciding, from observations that could be noise, an ex


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HumanDGX agent

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researcharxiv-cs-lg
8 Oct 2026
Model Releases

When to Unpair: Regulating Pairing Dependence in Medical Visual In-Context Learning

DGX agent

arXiv:2610.10335v1 Announce Type: new Abstract: Visual in-context learning (ICL), well suited to label-scarce medical imaging, uses support image-label pairs to demonstrate input-output mappings, whil

model-releasesarxiv-cs-cv
8 Oct 2026
Model Releases

Which Language Should a Skeleton Speak? Language Choices in Multilingual Reasoning

DGX agent

arXiv:2610.09607v1 Announce Type: new Abstract: Skeleton-based reasoning prompting is a promising training-free approach for structuring LLM reasoning, but prior work largely assumes an English-centri

model-releasesarxiv-cs-cl
8 Oct 2026
Research

Which Rollout Taught It That? BehaviorTrace and the Limits of Training-Data Attribution in Online RL

DGX agent

arXiv:2610.10422v1 Announce Type: cross Abstract: When reinforcement learning teaches a language model a new behavior, can we find the training rollouts that taught it? And when an attribution method

researcharxiv-cs-cl
8 Oct 2026
Research

Why Forget-Only Unlearning Needs Memorization

DGX agent

arXiv:2610.10519v1 Announce Type: new Abstract: Machine unlearning asks for a deletion algorithm whose output is close to retraining from scratch without the selected forget examples. In this work, we

researcharxiv-cs-lg
8 Oct 2026
Local Ai

Why VLMs Miss Small Objects, and When Zooming In Is Safe

DGX agent

arXiv:2610.09313v1 Announce Type: new Abstract: Vision-language models (VLMs) often miss small objects in large images. We ask three questions: what limits them, which of these limits better models ca

local-aiarxiv-cs-cv
8 Oct 2026
Applications

Work While They Sleep: Exploiting Evaluation Latency for Fully Bayesian Optimization

DGX agent

arXiv:2610.08969v1 Announce Type: new Abstract: Black-box optimization problems are ubiquitous across science and engineering, often dealing with expensive objective functions. This objective latency

applicationsarxiv-cs-lg
8 Oct 2026
Safety

Workhorse: Learning Robust Whole-Body Humanoid Loco-Manipulation from Human Data

DGX agent

arXiv:2610.09117v1 Announce Type: cross Abstract: Humanoid robots still struggle to plan contact-rich whole-body manipulation from egocentric RGB and proprioception. Workhorse learns such manipulation

safetyarxiv-cs-lg
8 Oct 2026
Model Releases

World Models Dream of Success: Diagnosing and Repairing Failure Insensitivity in Robot World Models

DGX agent

arXiv:2610.09134v1 Announce Type: new Abstract: Robot world models support policy evaluation, planning, and synthetic data generation, but these applications require predictions that distinguish succe

model-releasesarxiv-cs-ro
8 Oct 2026
Research

WxFM-XL: Adapting Univariate Foundation Models to Multi-Station Weather Forecasting

DGX agent

arXiv:2610.10057v1 Announce Type: new Abstract: With the rise of univariate time series foundation models (e.g., Sundial, Timer), initial efforts have been made to extend them to multivariate settings

researcharxiv-cs-lg
8 Oct 2026
Hardware

YANchor-4B: Effective Long-Horizon Reasoning in O(N) Time with O(1) Memory

DGX agent

arXiv:2610.10118v1 Announce Type: cross Abstract: Long-horizon reasoning demands access to earlier information at a manageable generation cost. Full-history attention incurs growing storage and comput

hardwarearxiv-cs-cl
8 Oct 2026
Research

Your Prompt Should Do More: Effects of Retrieval Instructions in Embedding Models

DGX agent

arXiv:2610.10508v1 Announce Type: new Abstract: Prompted embedding models have recently received increasing attention, particularly for retrieval, where detailed retrieval instructions are provided as

researcharxiv-cs-cl
8 Oct 2026
Local Ai

YUBI-STAG: Contact and Semantic-Rich Alignment for VLAs via Automated Video-Language Grounding

DGX agent

arXiv:2610.09718v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models acquire broad manipulation capabilities via large-scale pretraining, yet eliciting them through language requires

local-aiarxiv-cs-cv
8 Oct 2026
Research

Zero-Shot Brain MRI Inpainting with 2.5D Unconditional Flow Priors

DGX agent

arXiv:2610.08983v1 Announce Type: new Abstract: Generative inpainting of brain MRI volumes is essential for synthesizing healthy tissue in pathological regions, improving the accuracy and reliability

researcharxiv-cs-cv
8 Oct 2026
Model Releases

Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models

DGX agent

arXiv:2501.07972v2 Announce Type: replace-cross Abstract: The target of video moment retrieval (VMR) is predicting temporal spans within a video that semantically match a given linguistic query. Exist

model-releasesarxiv-cs-cv
8 Oct 2026
Model Releases

2d-fet-bench: from spatial reasoning to fet design on flakes

DGX agent

arXiv:2610.07423v1 Announce Type: new Abstract: Field-effect transistor (FET) layouts on exfoliated two-dimensional flakes are typically drawn by hand for each flake, placing contacts and gates to mat

model-releasesarxiv-cs-ai
7 Oct 2026
Research

2D Spatial Reasoning with Adaptive Neural Cellular Automata

DGX agent

arXiv:2610.08518v1 Announce Type: new Abstract: Many modern learning approaches are still struggling with spatial reasoning tasks, i.e. they lack the ability to utilize geometric information of percei

researcharxiv-cs-cv
7 Oct 2026
Model Releases

3D-DefectBench: A Controlled Factorial Study of Vision-Language Model Evaluation Pipelines for Fine-Grained 3D Generation Defects

DGX agent

arXiv:2607.10826v2 Announce Type: replace-cross Abstract: Automated evaluation is essential for scaling generative 3D systems, where exhaustive human review is costly and slow. Yet the reliability of

model-releasesarxiv-cs-ai
7 Oct 2026
Safety

4D-HOF: Hand-Object Flow Matching for Feed-Forward 4D Interaction Reconstruction

DGX agent

arXiv:2610.08782v1 Announce Type: cross Abstract: Existing methods for 4D hand-object reconstruction often rely on costly per-sequence optimization, while generative approaches typically synthesize in

safetyarxiv-cs-ai
7 Oct 2026
Research

A Belief-State World Model for Catheter Navigation under Sparse Fluoroscopy: A Planar Proof of Concept

DGX agent

arXiv:2610.08469v1 Announce Type: new Abstract: Endovascular catheter navigation relies on continuous fluoroscopy, exposing patients and clinical staff to ionizing radiation throughout the procedure.

researcharxiv-cs-ro
7 Oct 2026
Research

A BEMD-Based Quaternion Filtering Approach Sharp-to-Soft Kernel CT Image Conversion

DGX agent

arXiv:2610.07071v1 Announce Type: new Abstract: The quality of computed tomography (CT) images is significantly affected by the selection of reconstruction kernels: sharp kernels improve spatial resol

researcharxiv-cs-cv
7 Oct 2026
Research

A Broader Look at Model Merging: Rethinking Implicit Regularization Induced by Task Arithmetic

DGX agent

arXiv:2610.07990v1 Announce Type: cross Abstract: Model merging aims to build a multi-task model cheaply by combining the weights of individual task-specific models. To perform well across multiple ta

researcharxiv-cs-cl
7 Oct 2026
Agents

A Case Study in Assuring AI-Written Software

DGX agent

arXiv:2610.08651v1 Announce Type: cross Abstract: Software-engineering agents can enable people without formal software training to build systems they could not otherwise implement and simultaneously

agentsarxiv-cs-ai
7 Oct 2026
Applications

A Data-Centric Review of Plant Disease Datasets: Taxonomy, Critical Analysis, Environmental Variability, and Implications for Precision Agriculture

DGX agent

arXiv:2610.07087v1 Announce Type: new Abstract: Despite rapid advances in artificial intelligence, reliable real-world plant disease detection remains a persistent challenge. Visual and deep learning

applicationsarxiv-cs-cv
7 Oct 2026
Applications

A Data-Driven Framework for Unsupervised Monitoring of Transmission Systems Using End-of-Line Testing Data: A Case Study at Ford Motor Company

DGX agent

arXiv:2610.06980v1 Announce Type: new Abstract: Sensing technologies have advanced rapidly across industries ranging from energy to automotive manufacturing. These systems generate high-dimensional (H

applicationsarxiv-cs-lg
7 Oct 2026
Research

A Decision-Focused Neural Optimization Framework for Personalized Route Reproduction from Vehicle Trajectories

DGX agent

arXiv:2610.07857v1 Announce Type: new Abstract: This study formulates individual route reproduction as a shortest-path problem over learned driver-specific latent link costs. The central idea is that,

researcharxiv-cs-lg
7 Oct 2026
Research

A doctrine-grounded visual question answering dataset for Tactical Combat Casualty Care

DGX agent

arXiv:2610.07339v1 Announce Type: cross Abstract: Tactical Combat Casualty Care (TC3) requires responders to connect visual observations of injuries and interventions with established clinical guidanc

researcharxiv-cs-ai
7 Oct 2026
Safety

A Footprint-Aware, High-Resolution Approach for Carbon Flux Prediction Across Diverse Ecosystems

DGX agent

arXiv:2512.01917v2 Announce Type: replace Abstract: Eddy-covariance (EC) flux towers provide in situ measurements of CO_2 flux and serve as the ground-truth data for predictive `upscaling' models deri

safetyarxiv-cs-lg
7 Oct 2026
Research

A Neural JKO Scheme for Hellinger-Kantorovich Gradient Flows via Monge-Growth Pairs

DGX agent

arXiv:2610.07602v1 Announce Type: cross Abstract: We develop a mesh-free neural JKO scheme for advection-reaction-diffusion equations with a gradient-flow structure in the Hellinger-Kantorovich (HK) g

researcharxiv-cs-lg
7 Oct 2026
Model Releases

A Novel Sentence Stress Detection Framework Leveraging Auxiliary Word-Stress Modeling and Loss Optimization

DGX agent

arXiv:2610.07626v1 Announce Type: cross Abstract: Prosodic stress is a crucial aspect of automatic pronunciation assessment (APA), encompassing both sentence stress detection (SSD) and word stress det

model-releasesarxiv-cs-cl
7 Oct 2026
Model Releases

A perspective note on likelihood approximation and inference for complex simulation models using a chain of aggregated normalizing flows

DGX agent

arXiv:2610.07391v1 Announce Type: cross Abstract: We present a new perspective on the problem of likelihood approximation within the framework of simulation-based inference that promotes scalable and

model-releasesarxiv-cs-lg
7 Oct 2026
Safety

A Query Is Not a Commitment: Learning to Correct Expert Answers in Online Deferral

DGX agent

arXiv:2610.07084v1 Announce Type: cross Abstract: An inaccurate expert can still provide useful information after correction. We study online learning to defer in which the learner chooses an expert a

safetyarxiv-cs-lg
7 Oct 2026
Model Releases

A Riemannian Geometry for Low-rank Adaptation

DGX agent

arXiv:2610.08049v1 Announce Type: new Abstract: Low-rank adaptation (LoRA) is widely used as a parameter-efficient fine-tuning technique for pre-trained deep neural networks, which approximates the we

model-releasesarxiv-cs-lg
7 Oct 2026
Agents

A self-learning scientific agent for X-ray diffraction

DGX agent

arXiv:2610.07862v1 Announce Type: cross Abstract: A central challenge for scientific agents is to turn analytical experience into reusable expertise grounded in physical evidence. Here we introduce Ga

agentsarxiv-cs-ai
7 Oct 2026
Research

A Single-Loop, Constant-Batch First-Order Penalty Method for Stochastic Bilevel Optimization

DGX agent

arXiv:2610.07290v1 Announce Type: cross Abstract: Recent advances in penalty-based methods for stochastic bilevel optimization (SBO) have eliminated the need for second-order derivative oracles. Howev

researcharxiv-cs-lg
7 Oct 2026
Model Releases

A Stevens's Power Law Check-up of GPT-5.5's Image-Based Visualization Reading

DGX agent

arXiv:2610.08365v1 Announce Type: new Abstract: We adapt Stevens's power law to measure the innate ability of AI models to read visualizations, which can reveal the built-in perceptual mechanisms of a

model-releasesarxiv-cs-cv
7 Oct 2026
Agents

A Swarm-Coordinated Multi-Robot System for Early Stress Detection in Agricultural Rows Using Multimodal Leaf Sensing

DGX agent

arXiv:2610.08603v1 Announce Type: cross Abstract: Early stress detection in crops is a necessity today to improve efficiency and reduce waste of time, money, and effort. However, most modern technique

agentsarxiv-cs-ai
7 Oct 2026
Safety

A Systematic Analysis of the Predictive Power of LM Surprisal in Reading Chinese

DGX agent

arXiv:2610.04898v2 Announce Type: replace-cross Abstract: This study analyzes the predictive power of LM-derived, token-level surprisal on Mandarin Chinese reading times. We first propose the Shortest

safetyarxiv-cs-ai
7 Oct 2026
Model Releases

A Systematic Investigation of Bias in Large Language Models for Advertising Relevance

DGX agent

arXiv:2610.07544v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to judge how well an advertisement matches a query, but the fairness of these judgments has received

model-releasesarxiv-cs-ai
7 Oct 2026
Research

A Systematic Study of Semantic ID Spaces for Generative Information Retrieval

DGX agent

arXiv:2610.08732v1 Announce Type: cross Abstract: Generative Information Retrieval (GIR) has emerged as a transformative paradigm, shifting document retrieval from a traditional 'retrieve-and-rank' wo

researcharxiv-cs-cl
7 Oct 2026
Model Releases

A Systematic Study of Small Language Models on Abstract Reasoning Tasks

DGX agent

arXiv:2610.08680v1 Announce Type: cross Abstract: Endpoint accuracy on abstract-reasoning benchmarks does not reveal whether a language model has acquired a transferable rule or fit distribution-speci

model-releasesarxiv-cs-cl
7 Oct 2026
Safety

A theory of platonic representations in language models

DGX agent

arXiv:2610.07168v1 Announce Type: cross Abstract: Representations of translated sentences are similar in the inner layers of multilingual language models -- an observation connected to the platonic re

safetyarxiv-cs-cl
7 Oct 2026
Model Releases

A Trust Layer for Agent Evaluation

DGX agent

arXiv:2610.07274v1 Announce Type: new Abstract: Deterministic benchmark scores show that an agent received credit, but not whether that credit was earned, reported honestly, or would hold on a second

model-releasesarxiv-cs-ai
7 Oct 2026
Model Releases

A Validated Dataset and Benchmark for Coherent Multi-Diagram SysML Models

DGX agent

arXiv:2610.07356v1 Announce Type: cross Abstract: Systems engineers use several diagrams to describe the structure and behavior of systems. Engineers create these diagrams together to make sure that t

model-releasesarxiv-cs-ai
7 Oct 2026
Research

Accelerating the Development of PLGA In Situ Forming Depots Through AI-Driven Multi-Objective Optimization

DGX agent

arXiv:2610.08368v1 Announce Type: cross Abstract: Developing long-acting injectable formulations requires the simultaneous optimization of drug loading, release kinetics, viscosity, injectability, sta

researcharxiv-cs-ai
7 Oct 2026
Safety

AccentCL: Robust Accent Classification with Incremental Expansion

DGX agent

arXiv:2610.07426v1 Announce Type: new Abstract: Accent classifiers are typically trained with a fixed label inventory and cannot accommodate new accent categories as new data becomes available. Moreov

safetyarxiv-cs-cl
7 Oct 2026
Safety

ACG-WAM: World-Action Modeling via Action-Conditioned Geometric Latent Prediction

DGX agent

arXiv:2610.06965v1 Announce Type: new Abstract: World action models jointly learn visual predictionand robot actions, providing a way to use observations ofscene evolution for policy learning. Their v

safetyarxiv-cs-ro
7 Oct 2026
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