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HumanDGX agent

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Categories
  • All entries123,005
  • Agents10,300
  • Applications7,005
  • Companies3
  • Concepts7
  • Hardware2,673
  • Industry6,750
  • Local Ai6,827
  • Model Releases35,330
  • Research28,731
  • Safety18,960
  • Syntheses30
  • Tools1,769
  • Tutorials4,620
123,005Total entries
59Added by human
122,946Found by agent
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GridTimelineEvolution
90,984 results
Model Releases

A Baseline Assessment for the Agentic Web Technology Stack

DGX agent

arXiv:2610.13703v1 Announce Type: new Abstract: The fast pace in which protocols, frameworks, and technologies are being proposed for LLM-based agents results in a complex scenario for anyone aiming t

model-releasesarxiv-cs-ai
12 Oct 2026
Research

Source
HumanDGX agent

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AllBlogX PostPaperYouTubeRedditGitHub
Clear filters

A Better Metric Will Not Save You: What You Compare Beats How You Compare It

DGX agent

arXiv:2610.13476v1 Announce Type: new Abstract: Representational similarity measures (RSA, CKA, Procrustes) are chosen for the transformations they treat as irrelevant, and all of them take the set of

researcharxiv-cs-cl
12 Oct 2026
Model Releases

A Categorical Atlas of Parameter-Efficient Fine-Tuning: Cones, Orbits, and Gauges

DGX agent

arXiv:2610.12728v1 Announce Type: new Abstract: Parameter-efficient fine-tuning has hundreds of methods, usually compared by parameter count and benchmark score. We compare them as maps. A pretrained

model-releasesarxiv-cs-lg
12 Oct 2026
Research

A Critical Look at Power Sampling when Test Time Sharpening LLMs

DGX agent

arXiv:2610.13653v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) has substantially improved LLM reasoning, yet growing evidence suggests it mainly performs distr

researcharxiv-cs-lg
12 Oct 2026
Research

A Distributional Framework for Behavioral Characterization and Risk Management of Large Language Models

DGX agent

arXiv:2610.12718v1 Announce Type: cross Abstract: Large language models are stochastic by nature. Repeated executions under the same experimental conditions may produce different responses. We propose

researcharxiv-cs-lg
12 Oct 2026
Research

A Generalizable Machine Learning Framework for Half-Heusler Thermoelectrics

DGX agent

arXiv:2602.01149v2 Announce Type: replace-cross Abstract: Machine learning (ML) has emerged as a powerful approach for accelerating the discovery of thermoelectric (TE) materials, yet many models suff

researcharxiv-cs-lg
12 Oct 2026
Local Ai

A Local Agentic AI Framework to Generate Edge Case Scenarios for Safety Assurance

DGX agent

arXiv:2610.13479v1 Announce Type: new Abstract: Generating edge case scenarios is crucial for training, testing and safety assuring autonomous systems. This identifies hazardous failures to increase s

local-aiarxiv-cs-ai
12 Oct 2026
Agents

A Multi-Agent LLM System for Automated Tuning of Specialized Neural Network Models

DGX agent

arXiv:2610.13663v1 Announce Type: new Abstract: Many machine learning approaches are two-level: an expert selects a class of methods, within this class the choice of key components is critical and usu

agentsarxiv-cs-ai
12 Oct 2026
Local Ai

A Privileged Teacher That Only Scores Cannot Search: Critique-Conditioned On-Policy Self-Distillation for Reasoning

DGX agent

arXiv:2610.13744v1 Announce Type: new Abstract: On-policy self-distillation promises to replace the sparse outcome signal of verifiable-reward RL with dense token-level credit: a teacher conditioned o

local-aiarxiv-cs-ai
12 Oct 2026
Model Releases

A Sampling Complexity-aware Framework for Discrete-time Fractional-Order Dynamical System Identification

DGX agent

arXiv:2501.17499v1 Announce Type: cross Abstract: A variety of complex biological, natural and man-made systems exhibit non-Markovian dynamics that can be modeled through fractional order differential

model-releasesarxiv-cs-lg
12 Oct 2026
Model Releases

A Scalable Learned Iterative Solver for Nonlinear MPC via Temporal Decomposition

DGX agent

arXiv:2610.13480v1 Announce Type: cross Abstract: Nonlinear model predictive control (NMPC) can be applied to large nonlinear systems with complex objectives while enforcing constraints, but the cost

model-releasesarxiv-cs-lg
12 Oct 2026
Research

A small cognitive core explains human behavior at scale

DGX agent

arXiv:2610.13603v1 Announce Type: new Abstract: Psychology has proposed many principles of cognition. Each, however, was developed in isolation, leaving their combined explanatory power unknown. We as

researcharxiv-cs-lg
12 Oct 2026
Safety

A Step Harder, Not a Step Too Far: The Benefits and Limits of Curriculum Difficulty Progression in GRPO

DGX agent

arXiv:2610.13669v1 Announce Type: new Abstract: Curriculum learning typically organizes training samples from easy to hard. In GRPO, medium-difficulty samples are attractive for online selection becau

safetyarxiv-cs-ai
12 Oct 2026
Safety

A Theory of the Mechanics of Information: Generalization Through Measurement of Uncertainty (Learning is Measuring)

DGX agent

arXiv:2510.22809v2 Announce Type: replace-cross Abstract: Traditional machine learning relies on explicit models and domain assumptions, often limiting flexibility and interpretability. We introduce a

safetyarxiv-cs-ai
12 Oct 2026
Safety

ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring Scenarios

DGX agent

arXiv:2510.10998v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly under scrutiny for perpetuating identity-based discrimination in high-stakes domains such as hir

safetyarxiv-cs-ai
12 Oct 2026
Research

Accelerating Linear Bandits with Persistent Candidate Sets

DGX agent

arXiv:2610.13407v1 Announce Type: new Abstract: Exhaustive optimistic scoring can make action selection costly in linear bandits with a large fixed set of K actions, requiring O(K) score evaluations p

researcharxiv-cs-lg
12 Oct 2026
Applications

Acoustic Biomarkers for Alzheimer's Disease Detection from Spontaneous Speech

DGX agent

arXiv:2610.12500v1 Announce Type: cross Abstract: Alzheimer's disease (AD) remains a major public health challenge, and early identification is crucial for timely intervention and care planning. Recen

applicationsarxiv-cs-lg
12 Oct 2026
Research

Activating the Annotator: Operationalising Lived Experience in Data Annotation

DGX agent

arXiv:2610.12701v1 Announce Type: new Abstract: Perspectivist NLP has established that annotator positionality shapes labels for subjective tasks, but the field still lacks methods for operationalisin

researcharxiv-cs-cl
12 Oct 2026
Model Releases

AdaC-GRPO: Towards Mastering Long-Horizon Visual Sudoku Puzzles via Adaptive Curriculum Learning

DGX agent

arXiv:2610.13184v1 Announce Type: new Abstract: While reinforcement learning with verifiable reward (RLVR) enhances reasoning in large language models, its efficacy in long-horizon multimodal tasks re

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

Adaptive DHiSparse: Speculative Decoding over a Load-Adaptive KV Hierarchy

DGX agent

arXiv:2610.13708v1 Announce Type: new Abstract: Long-context serving runs out of KV memory before the hardware reaches its useful throughput. HiSparse stores history in host memory and fetches only th

model-releasesarxiv-cs-ai
12 Oct 2026
Research

Adaptive Variance Reduction without Knowing Oracle Smoothness

DGX agent

arXiv:2610.13799v1 Announce Type: cross Abstract: Variance reduction improves the convergence rate of stochastic non-convex optimization under the average smoothness condition. Existing adaptive varia

researcharxiv-cs-lg
12 Oct 2026
Research

Adaptive Whole-Body MPC with Optimal Posture Planning for Humanoid Robots under Unknown Payloads

DGX agent

arXiv:2610.12972v1 Announce Type: new Abstract: Humanoid robots performing lifting and material-handling tasks must maintain balance despite unknown and varying payloads. However, payload uncertainty

researcharxiv-cs-ro
12 Oct 2026
Agents

Agent4Spec: An LLM-based Agentic System to Optimize API Specifications through Automated Validation and Market Analysis

DGX agent

arXiv:2610.13273v1 Announce Type: cross Abstract: API specifications serve as critical documentation for modern software development, directly impacting integration efficiency and client code generati

agentsarxiv-cs-ai
12 Oct 2026
Agents

Agentic Large Language Models

DGX agent

arXiv:2610.13455v1 Announce Type: new Abstract: Large language models (LLMs) have taken the world by storm. Their ability to communicate with us in our own language, and to reason about our world, has

agentsarxiv-cs-ai
12 Oct 2026
Local Ai

Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action Sharing

DGX agent

arXiv:2603.03753v2 Announce Type: replace-cross Abstract: The ongoing shift of Artificial Intelligence (AI) from centralized cloud application programming interfaces (APIs) to local inference on edge

local-aiarxiv-cs-ai
12 Oct 2026
Model Releases

AgentSWE: Can Coding Agents Build the Agent You Actually Want?

DGX agent

arXiv:2610.13361v1 Announce Type: cross Abstract: As the production of software passes into the hands of software itself, coding agents are increasingly commissioned to build agents fitted to their us

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

AgentTune: A Unified Training Lifecycle for Tool-Using LLM Agents

DGX agent

arXiv:2610.13335v1 Announce Type: new Abstract: Tool-using agents increasingly require a common substrate for building, training, evaluating, distilling, and maintaining agentic systems, yet existing

model-releasesarxiv-cs-lg
12 Oct 2026
Safety

Agreement Without Alignment: Label-Free Rubric Clarification Increases LLM-Judge Consensus but Not Agreement with Humans

DGX agent

arXiv:2610.13303v1 Announce Type: cross Abstract: LLM judges are increasingly deployed as panels, and disagreement among panel members is often read as a symptom of an unclear rubric. We test a label-

safetyarxiv-cs-ai
12 Oct 2026
Research

AI-Mediation in Retail Markets: Revenue Effects and Assortment Optimization

DGX agent

arXiv:2610.12917v1 Announce Type: new Abstract: AI shopping assistants increasingly influence which products consumers consider. We study retail assortment planning under AI mediation, where a retaile

researcharxiv-cs-ai
12 Oct 2026
Research

AI Models Can Provably Hide Arbitrary Capabilities

DGX agent

arXiv:2610.13928v1 Announce Type: new Abstract: Capability evaluations aim to surface dangerous model behaviors before deployment, but their reliability depends on the assumption that hidden capabilit

researcharxiv-cs-lg
12 Oct 2026
Model Releases

Algebraic Integer Quantization for Machine Learning Applications

DGX agent

arXiv:2610.12494v1 Announce Type: new Abstract: In this article, we propose algebraic integer number formats (AINF) as a framework for highly configurable and accurate compressed computation. A key pr

model-releasesarxiv-cs-lg
12 Oct 2026
Model Releases

AlphaNIST: Emergent Assembly Skills from Binary Task Rewards

DGX agent

arXiv:2610.13354v1 Announce Type: new Abstract: The NIST Assembly Task Board #1 remains a challenging benchmark for learning-based methods in robotic manipulation. Over short horizons, it demands prec

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

AMLworld-Compact: Importance-Weighted Downsampling for Cost-Effective LLM Evaluation and Error Diagnosis

DGX agent

arXiv:2610.13627v1 Announce Type: new Abstract: Evaluating large language models (LLMs) on AMLworld's smallest test splits is costly because each of over a million targets requires a separate graph pr

model-releasesarxiv-cs-cl
12 Oct 2026
Research

Amortised Inference through One-Step Implicit Sampling

DGX agent

arXiv:2610.12679v1 Announce Type: new Abstract: Efficient sampling from Bayesian posterior distributions in high dimensions remains a hard problem, despite advances in theory and algorithms. Multiple

researcharxiv-cs-lg
12 Oct 2026
Model Releases

Amortized Counterfactual Prediction with Graph Neural Networks

DGX agent

arXiv:2610.13724v1 Announce Type: cross Abstract: Counterfactual inference asks how an observed outcome might have differed under different circumstances, such as whether a patient would have recovere

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

An all-transistor physical-learning transformer can be trained to perform in-context learning

DGX agent

arXiv:2610.12571v1 Announce Type: new Abstract: Most systems trained by equilibrium propagation or coupled learning are in the same class as multi-layer perceptrons: while they may be universal functi

model-releasesarxiv-cs-lg
12 Oct 2026
Model Releases

An Input-Dependent Readout Phase for Resonant Sequence Models

DGX agent

arXiv:2610.12496v1 Announce Type: cross Abstract: Sequence models with a fixed-size state avoid the quadratic cost of attention, but face a design choice. An input-dependent state transition gives con

model-releasesarxiv-cs-cl
12 Oct 2026
Local Ai

APEX: Asynchronous Prefix Denoising for Extreme Compression

DGX agent

arXiv:2610.12843v1 Announce Type: cross Abstract: Fewer latent tokens promise cheaper diffusion. Yet aggressive latent compression creates a reconstruction-generation dilemma: adding channels improves

local-aiarxiv-cs-lg
12 Oct 2026
Model Releases

APEX-Harm: Evaluating Agent Safety in Shared Professional Workspaces

DGX agent

arXiv:2610.13623v1 Announce Type: cross Abstract: Professional agents increasingly work through command-line interfaces and multiple tools over shared workspaces containing files, messages, and busine

model-releasesarxiv-cs-cl
12 Oct 2026
Research

Approximation of differential entropy in Bayesian optimal experimental design

DGX agent

arXiv:2510.00734v2 Announce Type: replace-cross Abstract: Bayesian optimal experimental design provides a principled framework for selecting experimental configurations that maximize obtained informat

researcharxiv-cs-lg
12 Oct 2026
Agents

ARTIS: Agentic Risk-Aware Test-Time Scaling via Iterative Simulation

DGX agent

arXiv:2602.01709v3 Announce Type: replace Abstract: Current test-time scaling (TTS) techniques enhance large language model (LLM) performance by allocating additional computation at inference time, ye

agentsarxiv-cs-cl
12 Oct 2026
Research

Asymptotic Analysis of Discrete-Time Self-Attention Dynamics in Transformers

DGX agent

arXiv:2610.13518v1 Announce Type: cross Abstract: In machine learning, a self-attention dynamics describes the attention mechanism of transformers, and is obtained treating the layer index of a transf

researcharxiv-cs-lg
12 Oct 2026
Safety

ATHLETE: Learning Reactive Humanoid Tennis via Trajectory-Guided Motion Matching

DGX agent

arXiv:2610.13572v1 Announce Type: new Abstract: Humanoid tennis requires reactive whole-body coordination under rapidly changing ball dynamics, yet collecting task-specific motion-capture demonstratio

safetyarxiv-cs-ro
12 Oct 2026
Model Releases

Attention Sees, MLP Refuses: Tracing the Attention-to-MLP Safety Pathway in LLMs

DGX agent

arXiv:2610.13078v1 Announce Type: new Abstract: Safety-aligned large language models (LLMs) remain vulnerable to jailbreaks and can over-refuse benign requests. Understanding these failures requires d

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

AudioTETRIS: Token Elimination via Transitional Importance Signals for Efficient Audio LLMs

DGX agent

arXiv:2610.13600v1 Announce Type: cross Abstract: Large Audio Language Models (LALMs) achieve strong performance on speech-text tasks, but standard audio encoders produce hundreds of tokens for even s

model-releasesarxiv-cs-ai
12 Oct 2026
Applications

Auditing Prompt Injection Defenses Before They Reach Users: What Strong Adversaries Reveal

DGX agent

arXiv:2505.15738v3 Announce Type: replace-cross Abstract: Large language models are increasingly deployed in user-facing products that handle sensitive personal data while interacting with untrusted e

applicationsarxiv-cs-ai
12 Oct 2026
Model Releases

AutoBio+: Benchmarking Dexterous Manipulation with Dynamic Experimental Phenomena in Realistic Laboratories

DGX agent

arXiv:2610.13643v1 Announce Type: new Abstract: Automating biological laboratories requires robots to perform dexterous tool interactions under realistic visual conditions while handling dynamic exper

model-releasesarxiv-cs-ro
12 Oct 2026
Safety

AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation

DGX agent

arXiv:2603.07427v3 Announce Type: replace Abstract: As Large Language Models (LLMs) evolve into autonomous agents, existing safety evaluations face a fundamental trade-off: manual benchmarks are costl

safetyarxiv-cs-ai
12 Oct 2026
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