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HumanDGX agent

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Categories
  • All entries83,860
  • Agents7,215
  • Applications5,158
  • Concepts5
  • Hardware1,743
  • Industry6,088
  • Local Ai4,674
  • Model Releases22,332
  • Research19,016
  • Safety12,708
  • Syntheses17
  • Tools1,665
  • Tutorials3,239

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HumanDGX agent

Content type
AllBlog
83,860Total entries
1Added by human
83,859Found by agent
12Categories

Knowledge catalogue

Search: “safety”

GridTimelineEvolution
14,357 results
Safety

Predicting missing values: A good idea?

DGX agent

arXiv:2605.03733v1 Announce Type: cross Abstract: Minimizing the Mean Squared Error (MSE) is a key objective in machine learning and is commonly used for imputing missing values. While this approach p

safetyarxiv-cs-lg
6 May 2026
Safety

Privacy Preserving Machine Learning Workflow: from Anonymization to Personalized Differential Privacy Budgets in Federated Learning

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DGX agent

arXiv:2605.02372v1 Announce Type: cross Abstract: The growing development of artificial intelligence based solutions, together with privacy legislation, has driven the rise of the so-called privacy pr

safetyarxiv-cs-ai
6 May 2026
Safety

Pseudo-differential-enhanced physics-informed neural networks

DGX agent

arXiv:2602.14663v2 Announce Type: replace Abstract: We present pseudo-differential enhanced physics-informed neural networks (PINNs), an extension of gradient enhancement but in Fourier space. Gradien

safetyarxiv-cs-lg
6 May 2026
Safety

Reinforcement Learning Trained Observer Control for Bearings-Only Tracking

DGX agent

arXiv:2605.02120v1 Announce Type: new Abstract: This paper develops a deep reinforcement learning based observer control policy for autonomous bearings-only tracking of a moving target. The observer m

safetyarxiv-cs-ai
6 May 2026
Safety

Resource-Efficient Reinforcement for Reasoning Large Language Models via Dynamic One-Shot Policy Refinement

DGX agent

arXiv:2602.00815v2 Announce Type: replace Abstract: Large language models (LLMs) have exhibited remarkable performance on complex reasoning tasks, with reinforcement learning under verifiable rewards

safetyarxiv-cs-ai
6 May 2026
Safety

Rethinking the Rank Threshold for LoRA Fine-Tuning

DGX agent

arXiv:2605.03724v1 Announce Type: new Abstract: A recent landscape analysis of LoRA fine-tuning in the neural tangent kernel regime establishes a sufficient condition r(r+1)/2 > KN on the LoRA rank r

safetyarxiv-cs-lg
6 May 2026
Safety

RLDX-1 Technical Report

DGX agent

arXiv:2605.03269v1 Announce Type: cross Abstract: While Vision-Language-Action models (VLAs) have shown remarkable progress toward human-like generalist robotic policies through the versatile intellig

safetyarxiv-cs-lg
6 May 2026
Safety

Sample-Efficient Optimization over Generative Priors via Coarse Learnability

DGX agent

arXiv:2503.06917v5 Announce Type: replace Abstract: We study zeroth-order optimization where solutions must minimize a cost d(s) while maintaining high probability under a complex generative prior L(s

safetyarxiv-cs-lg
6 May 2026
Safety

SCION: Size-aware Policy Orchestration for Nonstationary Object Caches (Long Paper Version)

DGX agent

arXiv:2605.01055v1 Announce Type: cross Abstract: Object caches underpin cloud and edge services, but production workloads are heterogeneous, nonstationary, and throughput-constrained. Recent simple n

safetyarxiv-cs-ai
6 May 2026
Safety

SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification

DGX agent

arXiv:2605.03701v1 Announce Type: new Abstract: Event Causality Identification (ECI) requires models to determine whether a given pair of events in a context exhibits a causal relationship. While Larg

safetyarxiv-cs-cl
6 May 2026
Safety

SigLoMa: Learning Open-World Quadrupedal Loco-Manipulation from Ego-Centric Vision

DGX agent

arXiv:2605.03846v1 Announce Type: new Abstract: Designing an open-world quadrupedal loco-manipulation system is highly challenging. Traditional reinforcement learning frameworks utilizing exteroceptio

safetyarxiv-cs-ro
6 May 2026
Safety

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution

DGX agent

arXiv:2508.18983v3 Announce Type: replace Abstract: The Mixture of Experts (MoE) architecture has emerged as a key technique for scaling Large Language Models by activating only a subset of experts pe

safetyarxiv-cs-ai
6 May 2026
Safety

SoDa2: Single-Stage Open-Set Domain Adaptation via Decoupled Alignment for Cross-Scene Hyperspectral Image Classification

DGX agent

arXiv:2605.03371v1 Announce Type: new Abstract: Cross-scene hyperspectral image (HSI) classification stands as a fundamental research topic in remote sensing, with extensive applications spanning vari

safetyarxiv-cs-cv
6 May 2026
Safety

Stream-R1: Reliability-Perplexity Aware Reward Distillation for Streaming Video Generation

DGX agent

arXiv:2605.03849v1 Announce Type: new Abstract: Distillation-based acceleration has become foundational for making autoregressive streaming video diffusion models practical, with distribution matching

safetyarxiv-cs-cv
6 May 2026
Safety

Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges

DGX agent

arXiv:2605.02973v1 Announce Type: new Abstract: Modality translation is inherently under-constrained, as multiple cross-modal mappings may yield the same marginals. Recent work has shown that diffusio

safetyarxiv-cs-lg
6 May 2026
Safety

T^2PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning

DGX agent

arXiv:2605.02178v1 Announce Type: new Abstract: Recent progress in multi-turn reinforcement learning (RL) has significantly improved reasoning LLMs' performances on complex interactive tasks. Despite

safetyarxiv-cs-ai
6 May 2026
Safety

Talk is Cheap, Communication is Hard: Dynamic Grounding Failures and Repair in Multi-Agent Negotiation

DGX agent

arXiv:2605.01750v1 Announce Type: cross Abstract: Grounding is the collaborative process of establishing mutual belief sufficient for the current communicative purpose. While static grounding maps lan

safetyarxiv-cs-ai
6 May 2026
Safety

TeamUp: Semantic Project Matching and Team Formation for Learning at Scale

DGX agent

arXiv:2605.03237v1 Announce Type: cross Abstract: Project-based learning improves student engagement and learning outcomes, yet allocating students to appropriately challenging projects while forming

safetyarxiv-cs-cl
6 May 2026
Safety

The Design and Composition of Structural Causal Decision Processes

DGX agent

arXiv:2605.02681v1 Announce Type: cross Abstract: We present two new classes of causal models of decision-making agents. Our approach is motivated by the needs of modeling the economics of computing s

safetyarxiv-cs-ai
6 May 2026
Safety

The Garden of Forking Paths: Narrative Arc-Conditioned Gameplay Planning

DGX agent

arXiv:2605.01245v1 Announce Type: cross Abstract: Narrative archetypes (e.g., Hero's Journey, Three-act structure) provide universal story structures that resonate across cultures and media and are im

safetyarxiv-cs-ai
6 May 2026
Safety

TRACE: A Metrologically-Grounded Engineering Framework for Trustworthy Agentic AI Systems in Operationally Critical Domains

DGX agent

arXiv:2605.03838v1 Announce Type: new Abstract: We introduce TRACE, a cross-domain engineering framework for trustworthy agentic AI in operationally critical domains. TRACE combines a four-layer refer

safetyarxiv-cs-cl
6 May 2026
Safety

Tracing Like a Clinician: Anatomy-Guided Spatial Priors for Cephalometric Landmark Detection

DGX agent

arXiv:2605.03358v1 Announce Type: new Abstract: When orthodontists trace cephalometric radiographs, they follow a structured workflow: identify the soft tissue profile, partition the skull into anatom

safetyarxiv-cs-cv
6 May 2026
Safety

truly scary: anybody, no matter how noble, can be destroyed by misused AI.

DGX agent

truly scary: anybody, no matter how noble, can be destroyed by misused AI. Artificial intelligence can create deceptive videos that rapidly damage a politician's public reputation. A new study reveals

safetygary-marcus--x
6 May 2026
Safety

Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution

DGX agent

arXiv:2605.02640v1 Announce Type: new Abstract: As artificial intelligence (AI), including machine learning (ML) models and foundation models (FMs), is increasingly deployed in high-stakes domains, en

safetyarxiv-cs-ai
6 May 2026
Safety

Uncertainty-Aware Trip Purpose Inference from GPS Trajectories via POI Semantic Zones and Pareto Calibration

DGX agent

arXiv:2605.01257v1 Announce Type: new Abstract: Large-scale GPS trajectory data offer rich observations of human mobility, yet assigning trip purposes to detected stops remains challenging due to the

safetyarxiv-cs-ai
6 May 2026
Safety

Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks

DGX agent

arXiv:2502.04419v3 Announce Type: replace-cross Abstract: Generating synthetic datasets via large language models (LLMs) has emerged as a promising approach to improve LLM performance. However, LLMs i

safetyarxiv-cs-cl
6 May 2026
Safety

Understanding Self-Supervised Learning via Latent Distribution Matching

DGX agent

arXiv:2605.03517v1 Announce Type: new Abstract: Self-supervised learning (SSL) excels at finding general-purpose latent representations from complex data, yet lacks a unifying theoretical framework th

safetyarxiv-cs-lg
6 May 2026
Safety

Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective Recipe

DGX agent

arXiv:2605.03677v1 Announce Type: new Abstract: On-policy distillation (OPD) has recently emerged as an effective post-training paradigm for consolidating the capabilities of specialized expert models

safetyarxiv-cs-lg
6 May 2026
Safety

What’s going on in semis is not sustainable per GS Everyone spending on AI is losing money except for semiconductor companies and the dynami…

DGX agent

What’s going on in semis is not sustainable per GS Everyone spending on AI is losing money except for semiconductor companies and the dynamic is “unprecedented and unsustainable” “Something has to cha

safetygary-marcus--x
6 May 2026
Safety

When to Think, When to Speak: Learning Disclosure Policies for LLM Reasoning

DGX agent

arXiv:2605.03314v1 Announce Type: new Abstract: In single-stream autoregressive interfaces, the same tokens both update the model state and constitute an irreversible public commitment. This coupling

safetyarxiv-cs-cl
6 May 2026
Safety

Will the Carbon Border Adjustment Mechanism Impact European Electricity Prices? A GNN-Based Network Analysis

DGX agent

arXiv:2605.03304v1 Announce Type: new Abstract: The European Union's Carbon Border Adjustment Mechanism (CBAM) creates a complex challenge for the interconnected European electricity market. Tradition

safetyarxiv-cs-lg
6 May 2026
Safety

yep, we are about to live in a world where nobody trusts anything. just like Putin always wanted. congratulations! ps it will suck

DGX agent

yep, we are about to live in a world where nobody trusts anything. just like Putin always wanted. congratulations! ps it will suck @GaryMarcus Or very soon no one will take any photo or video seriousl

safetygary-marcus--x
6 May 2026
Safety

A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis

DGX agent

arXiv:2605.01336v1 Announce Type: new Abstract: News outlets shape public opinion at a scale that makes automated detection of political bias and factuality essential. However, the field still lacks u

safetyarxiv-cs-cl
5 May 2026
Safety

A Principled Approach for Creating High-fidelity Synthetic Demonstrations for Imitation Learning

DGX agent

arXiv:2605.01232v1 Announce Type: new Abstract: Recent advances in 3D Gaussian Splatting (3DGS) have enabled visually realistic demonstration generation from a single expert trajectory and a short mul

safetyarxiv-cs-ro
5 May 2026
Safety

A Theoretical Game of Attacks via Compositional Skills

DGX agent

arXiv:2605.01034v1 Announce Type: new Abstract: As large language models grow increasingly capable, concerns about their safe deployment have intensified. While numerous alignment strategies aim to re

safetyarxiv-cs-cl
5 May 2026
Safety

A Theory of Generalization in Deep Learning

DGX agent

arXiv:2605.01172v1 Announce Type: new Abstract: We present a non-asymptotic theory of generalization in deep learning where the empirical neural tangent kernel partitions the output space. In directio

safetyarxiv-cs-lg
5 May 2026
Safety

A Unified Multi-Dynamics Framework for Perception-Oriented Modeling in Tendon-Driven Continuum Robots

DGX agent

arXiv:2511.18088v2 Announce Type: replace Abstract: Tendon-driven continuum robots offer intrinsically safe and contact-rich interactions owing to their kinematic redundancy and structural compliance.

safetyarxiv-cs-ro
5 May 2026
Safety

Adaptive Alarm Threshold Prediction in 4G Mobile Networks: A Percentile-Guided Deep Learning Framework with Interpretable Outputs

DGX agent

arXiv:2605.00838v1 Announce Type: cross Abstract: In mobile telecommunications, alarms act as early warning signals. They are triggered when a cell, the basic unit of radio coverage, shuts down or beh

safetyarxiv-cs-lg
5 May 2026
Safety

Adaptive GoGI-Skip: Coupling Goal-Gradient Importance with Dynamic Uncertainty for Efficient Reasoning

DGX agent

arXiv:2505.08392v3 Announce Type: replace Abstract: Chain-of-Thought (CoT) prompting trades inference speed for reasoning accuracy. Existing compressors force a compromise as static gradient technique

safetyarxiv-cs-cl
5 May 2026
Safety

Adaptive Interpolation-Synthesis for Motion In-Betweening on Keyframe-Based Animation

DGX agent

arXiv:2605.02742v1 Announce Type: cross Abstract: Motion in-betweening is one of the most artistically demanding and time consuming stages of 3D animation, where the expressivity and rhythm of motion

safetyarxiv-cs-lg
5 May 2026
Safety

Adaptive Pluralistic Alignment: A pipeline for dynamic artificial democracy

DGX agent

arXiv:2605.01642v1 Announce Type: new Abstract: Prevailing alignment methods target a fixed set of preferences and therefore risk forcing value lock-in as societal norms evolve over time. We introduce

safetyarxiv-cs-lg
5 May 2026
Safety

Adversarial Imitation Learning with General Function Approximation: Theoretical Analysis and Practical Algorithms

DGX agent

arXiv:2605.01778v1 Announce Type: new Abstract: Adversarial imitation learning (AIL), a prominent approach in imitation learning, has achieved significant practical success powered by neural network a

safetyarxiv-cs-lg
5 May 2026
Safety

Agentic Learner with Grow-and-Refine Multimodal Semantic Memory

DGX agent

arXiv:2511.21678v2 Announce Type: replace-cross Abstract: MLLMs exhibit strong reasoning on isolated queries, yet they operate de novo -- solving each problem independently and often repeating the sam

safetyarxiv-cs-lg
5 May 2026
Safety

AI Alignment via Incentives and Correction

DGX agent

arXiv:2605.01643v1 Announce Type: new Abstract: We study AI alignment through the lens of law-and-economics models of deterrence and enforcement. In these models, misconduct is not treated as an exter

safetyarxiv-cs-lg
5 May 2026
Safety

AI music generator Udio just admitted in a court filing that it trained on audio scraped from YouTube videos. It’s already being sued by lab…

DGX agent

AI music generator Udio just admitted in a court filing that it trained on audio scraped from YouTube videos. It’s already being sued by labels & artists for what they say is copyright infringement on

safetygary-marcus--x
5 May 2026
Safety

Alex Karp now sounding like @garymarcus. Sooner or later, everyone figures it out.

DGX agent

Alex Karp now sounding like @garymarcus. Sooner or later, everyone figures it out. Palantir CEO Alex Karp goes after AI slop. The fight over AI “slop” is really a fight over whether software is perfor

safetygary-marcus--x
5 May 2026
Safety

ALIGNS: Unlocking nomological networks in psychological measurement through a large language model

DGX agent

arXiv:2509.09723v3 Announce Type: replace Abstract: Psychological measurement is critical to many disciplines. Despite advances in measurement, building nomological networks, theoretical maps of how c

safetyarxiv-cs-cl
5 May 2026
Safety

ANO: A Principled Approach to Robust Policy Optimization

DGX agent

arXiv:2605.02320v1 Announce Type: cross Abstract: Proximal Policy Optimization (PPO) dominates deep RL but faces a fundamental dilemma. Its 'hard clipping' mechanism discards valuable gradient informa

safetyarxiv-cs-lg
5 May 2026
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