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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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HumanDGX agent
127,664Total entries
60Added by human
127,604Found by agent
13Categories

Knowledge catalogue

safety

GridTimelineEvolution
19,755 results
Safety

ARdena: Scenario-driven control of real-time LLM agents

DGX agent

arXiv:2607.22651v1 Announce Type: new Abstract: Large language models (LLMs) have enabled increasingly capable conversational agents, but reliably controlling their behavior in real-time interactive e

safetyarxiv-cs-ai
28 Jul 2026
Safety

Are Flat Minima an Illusion?

DGX agent

arXiv:2605.05209v2 Announce Type: replace-cross Abstract: Flat minima are an account of why deep networks generalise. However flatness is a matter of form (parameters), while generalisation is of func


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safetyarxiv-cs-ai
28 Jul 2026
Safety

Asymmetric Hierarchical Anchoring for Robust Audio-Visual Cross-Modal Generalization

DGX agent

arXiv:2602.03570v2 Announce Type: replace Abstract: Audio-visual joint representation learning under Cross-Modal Generalization (CMG) aims to transfer knowledge from a labeled source modality to an un

safetyarxiv-cs-lg
28 Jul 2026
Safety

Attribution and Uncertainty Behavior of Learned Residual Gyro Correction for Gyro-Stellar Estimation

DGX agent

arXiv:2607.24608v1 Announce Type: new Abstract: This work investigates uncertainty decomposition and explainability in a deep learning-based framework for gyroscope bias correction. A 1-D Convolutiona

safetyarxiv-cs-lg
28 Jul 2026
Safety

Beyond a Global Norm: Personalizing Toxicity Sensitivity in Language Models Without Retraining

DGX agent

arXiv:2607.23175v1 Announce Type: cross Abstract: Reducing toxicity is often framed as a global alignment problem, yet perceptions of harmful language are subjective and context-dependent. We present

safetyarxiv-cs-ai
28 Jul 2026
Safety

Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks

DGX agent

arXiv:2410.02596v2 Announce Type: replace-cross Abstract: Generative Flow Networks (GFlowNets) are a novel class of generative models designed to sample from unnormalized distributions and have found

safetyarxiv-cs-ai
28 Jul 2026
Safety

Breaking the Synthetic-Real Domain Shortcut for Training-Free Generative Replay-based Class Incremental Learning

DGX agent

arXiv:2607.22994v1 Announce Type: new Abstract: Class-incremental learning (CIL) requires models to continuously acquire new knowledge while avoiding catastrophic forgetting. While exemplar replay is

safetyarxiv-cs-cv
28 Jul 2026
Safety

Concept-based Visual Counterfactual Explanations with Diffusion Models

DGX agent

arXiv:2607.22544v1 Announce Type: new Abstract: Visual counterfactual explanations aim to answer 'what minimal change to this image would flip the model's prediction?', and are increasingly important

safetyarxiv-cs-ai
28 Jul 2026
Safety

Concurrent Prehensile and Nonprehensile Manipulation: A Practical Approach to Multi-Stage Dexterous Tasks

DGX agent

arXiv:2603.11655v3 Announce Type: replace Abstract: Dexterous hands enable concurrent prehensile and nonprehensile manipulation, such as holding one object while interacting with another, a capability

safetyarxiv-cs-ro
28 Jul 2026
Safety

ConFusion: Continuous Fusion Space Learning for Fine-Grained Controllable Infrared and Visible Image Fusion

DGX agent

arXiv:2607.23600v1 Announce Type: new Abstract: Controllable infrared-visible image fusion aims to integrate complementary thermal and structural information with flexible region-aware modulation, pro

safetyarxiv-cs-cv
28 Jul 2026
Safety

Constrained Reinforcement Learning Using Successor Representations

DGX agent

arXiv:2607.24057v1 Announce Type: new Abstract: Real-world Reinforcement Learning depends on the ability to formulate safety constraints into a policy. A common way to model such constraints is to int

safetyarxiv-cs-lg
28 Jul 2026
Safety

Continual-RL for Generalization in Autonomous Racing on the RoboRacer Platform

DGX agent

arXiv:2607.24320v1 Announce Type: new Abstract: A key challenge in modern robotics is to adapt to changing environments, a challenge that is exacerbated when simulations cannot encompass every possibl

safetyarxiv-cs-ro
28 Jul 2026
Safety

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning

DGX agent

arXiv:2505.18334v2 Announce Type: replace-cross Abstract: Past work has demonstrated that autonomous vehicles can drive more safely if they communicate with each other. However, this communication is

safetyarxiv-cs-ai
28 Jul 2026
Safety

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities

DGX agent

arXiv:2607.23018v1 Announce Type: cross Abstract: Nonstationary Gaussian process (GP) models are powerful tools for capturing input-dependent variability by adapting to observed data. However, with li

safetyarxiv-cs-lg
28 Jul 2026
Safety

CRAFT: Learn the Schema, Execute the Plan

DGX agent

arXiv:2607.22642v1 Announce Type: new Abstract: Enterprise coding agents translate natural-language analytical requests into executable code over proprietary APIs, schemas, and metric definitions. Yet

safetyarxiv-cs-ai
28 Jul 2026
Safety

D3O: Dynamic Distribution Distillation for Ordinal Regression

DGX agent

arXiv:2607.23575v1 Announce Type: cross Abstract: Ordinal regression is widely used in scenarios where labels are discrete yet inherently ordered. In practice, however, ordinal labels are often obtain

safetyarxiv-cs-ai
28 Jul 2026
Safety

Data Pyramid for Embodied Manipulation

DGX agent

arXiv:2607.24744v1 Announce Type: cross Abstract: Multimodal foundation models learned to see and to speak by consuming the whole internet. Embodied agents admit no such shortcut, since they require d

safetyarxiv-cs-cv
28 Jul 2026
Safety

Dementia Etiology Diagnosis via Collaborative Meta Knowledge Enhancement

DGX agent

arXiv:2607.22770v1 Announce Type: cross Abstract: Although artificial intelligence (AI) has shown promising performance in several medical tasks, accurate dementia etiology diagnosis with AI remains c

safetyarxiv-cs-cv
28 Jul 2026
Safety

Dependency-Guided Code Generation: Structured Matrix Decomposition and Consistency-Guided Refinement

DGX agent

arXiv:2607.16692v2 Announce Type: replace-cross Abstract: The increasing complexity of modern software systems has made automated code generation a fundamental task in software engineering. However, e

safetyarxiv-cs-cl
28 Jul 2026
Safety

Designing Service Systems from Textual Evidence

DGX agent

arXiv:2603.10400v2 Announce Type: replace-cross Abstract: Designing service systems requires selecting among alternative configurations -- choosing the best chatbot variant, the optimal routing policy

safetyarxiv-cs-ai
28 Jul 2026
Safety

DeVA: Decoupled Video-Action Model with physical guidance for robot policy learning

DGX agent

arXiv:2607.24159v1 Announce Type: cross Abstract: Generalizable robot manipulation requires policies that can anticipate how visual scenes evolve while executing language instructions. While recent Vi

safetyarxiv-cs-cv
28 Jul 2026
Safety

DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language Models

DGX agent

arXiv:2607.23944v1 Announce Type: new Abstract: Human visual reasoning typically follows a coarse-to-fine attention process, starting from global scene understanding and gradually focusing on question

safetyarxiv-cs-ai
28 Jul 2026
Safety

Directional Influence Function: Estimating Training Data Influence in Constrained Learning

DGX agent

arXiv:2607.23388v1 Announce Type: cross Abstract: As constrained learning becomes increasingly common, models are trained under explicit feasibility requirements to enforce fairness, safety, robustnes

safetyarxiv-cs-ai
28 Jul 2026
Safety

Disentangling Acoustic Cues in Alzheimer's Pathology and Perception: The Roles of Language and Gender

DGX agent

arXiv:2607.23977v1 Announce Type: cross Abstract: Acoustic biomarkers show promise for detecting Alzheimer's Disease (AD), yet whether the cues driving diagnostic AI align with those salient to human

safetyarxiv-cs-lg
28 Jul 2026
Safety

Disentangling Semantic Attention from Structural Bias in the Attention Manifold

DGX agent

arXiv:2607.24017v1 Announce Type: cross Abstract: The empirical success of attention mechanism in Multimodal Large Language Models (MLLMs) often obscures its inherent, subtle flaws. Specifically, MLLM

safetyarxiv-cs-ai
28 Jul 2026
Safety

Do LLM Debates Repeat Arguments Differently Across Languages?

DGX agent

arXiv:2607.23442v1 Announce Type: new Abstract: LLM debate is usually evaluated by final answers, but transcripts also reveal whether later turns develop new argumentative content or return to earlier

safetyarxiv-cs-cl
28 Jul 2026
Safety

Does Faithfulness-Guided Alignment Hurt Accuracy? Unlocking Accurate and Faithful Post-Retrieval Reasoning

DGX agent

arXiv:2602.01348v3 Announce Type: replace Abstract: Retrieval-augmented generation (RAG) can achieve strong answer accuracy on multi-hop questions, but outcome-level rewards often leave reasoning trac

safetyarxiv-cs-cl
28 Jul 2026
Safety

EchoBridge: Long-Tail-Aware ECG-Echocardiography Text Alignment for Echocardiography-Derived Cardiac Findings

DGX agent

arXiv:2607.24553v1 Announce Type: cross Abstract: Standardized echocardiography conclusions provide meaningful supervision for learning ECG representations of echocardiography-derived cardiac findings

safetyarxiv-cs-ai
28 Jul 2026
Safety

Efficiency Matters in Autonomous Research

DGX agent

arXiv:2607.24647v1 Announce Type: new Abstract: AI-driven autonomous research (AR) systems are becoming increasingly effective across a broad range of tasks. Their performance, however, is still evalu

safetyarxiv-cs-ai
28 Jul 2026
Safety

Epistemic Norms for AI Safety and Alignment Research

DGX agent

arXiv:2607.24243v1 Announce Type: new Abstract: Mainstream AI research emphasises capability growth and tolerates low failure rates when average-case performance is high. AI safety and alignment resea

safetyarxiv-cs-ai
28 Jul 2026
Safety

Eviction as Estimation: A Fixed-Lag Smoothing View of Test-Time Memory, and When Measuring Beats Accumulating

DGX agent

arXiv:2607.24667v1 Announce Type: new Abstract: A language model with a bounded working memory must repeatedly decide which stored items to keep. Every deployed method decides the moment an item arriv

safetyarxiv-cs-ai
28 Jul 2026
Safety

Execution-Grounded Security Testing for Coding Agents in Software Engineering Pipelines

DGX agent

arXiv:2607.22569v1 Announce Type: new Abstract: Coding agents are increasingly integrated into system operations, where their tool use can directly modify project artifacts, execution environments, an

safetyarxiv-cs-ai
28 Jul 2026
Safety

Face Age Verification Vulnerabilities Under Simple Appearance Manipulations

DGX agent

arXiv:2607.24194v1 Announce Type: new Abstract: Online platforms increasingly rely on automated age estimation systems to enforce minimum-age policies. Focusing on vision-based models designed for thi

safetyarxiv-cs-cv
28 Jul 2026
Safety

Finite-Time Analysis of the Natural Policy Gradient in Finite-Horizon Markov Decision Processes

DGX agent

arXiv:2607.22982v1 Announce Type: new Abstract: Natural Policy Gradient (NPG) is a well-established Reinforcement Learning algorithm that underlies widely used methods such as Trust Region Policy Opti

safetyarxiv-cs-lg
28 Jul 2026
Safety

FlowCTS: On-policy Continuous Trajectory Supervision of Flow Models

DGX agent

arXiv:2607.24522v1 Announce Type: cross Abstract: While on-policy distillation (OPD) effectively addresses sparse rewards and exposure bias in large language model post-training, its extension to flow

safetyarxiv-cs-cv
28 Jul 2026
Safety

Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety

DGX agent

arXiv:2607.24168v1 Announce Type: new Abstract: Road crashes remain among the gravest threats to public safety, and preventing them is a defining task of transportation systems worldwide. Much of that

safetyarxiv-cs-lg
28 Jul 2026
Safety

From Camera-Based Sensing to Reasoning: A Comprehensive Review Toward Proactive Vulnerable Road User Safety

DGX agent

arXiv:2510.03314v2 Announce Type: replace-cross Abstract: Ensuring the safety of vulnerable road users (VRUs), such as pedestrians and cyclists, remains a critical challenge, as conventional infrastru

safetyarxiv-cs-ai
28 Jul 2026
Safety

From 'Help' to Helpful: A Hierarchical Assessment of LLMs in Mental e-Health Applications

DGX agent

arXiv:2602.18443v2 Announce Type: replace-cross Abstract: Psychosocial online counselling frequently encounters generic subject lines that impede efficient case prioritisation. This study evaluates el

safetyarxiv-cs-ai
28 Jul 2026
Safety

From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search

DGX agent

arXiv:2607.24280v1 Announce Type: new Abstract: Agentic search enables large language models to solve knowledge-intensive tasks by interleaving multi-step reasoning with retrieval, yet optimizing this

safetyarxiv-cs-ai
28 Jul 2026
Safety

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias

DGX agent

arXiv:2607.22837v1 Announce Type: cross Abstract: Many organizations aim to adapt language models for internal use, both to improve performance on domain-specific tasks and to address privacy concerns

safetyarxiv-cs-ai
28 Jul 2026
Safety

FutureRTC: Real-Time Robot Execution with Anticipatory-Conditioned Action Chunking

DGX agent

arXiv:2607.24008v1 Announce Type: new Abstract: Real-time deployment of Vision-Language-Action (VLA) policies necessitates asynchronous execution, wherein subsequent action chunks are computed concurr

safetyarxiv-cs-ro
28 Jul 2026
Safety

Generalization bounds and sample complexity for remaining useful life prediction from complete degradation trajectories

DGX agent

arXiv:2607.23454v1 Announce Type: new Abstract: Data-driven remaining useful life (RUL) prediction requires complete degradation trajectories for training, yet such run-to-failure data are scarce and

safetyarxiv-cs-lg
28 Jul 2026
Safety

HALLELUAI: A Hallucination-Aware AI System for Ultra-Realistic Image-to-Video Generation at Scale

DGX agent

arXiv:2607.22959v1 Announce Type: cross Abstract: AI-generated video is increasingly used across marketing, product storytelling, and creative workflows, yet automated; high-precision quality control

safetyarxiv-cs-ai
28 Jul 2026
Safety

HeraSys: Collaborative Serving of Multiple LLM Workflows via Fine-Grained End-to-End Optimization

DGX agent

arXiv:2607.22578v1 Announce Type: new Abstract: The proliferation of Large Language Models (LLMs) has shifted serving systems from processing isolated requests to orchestrating high-concurrency, multi

safetyarxiv-cs-ai
28 Jul 2026
Safety

Hierarchical Soft Actor-Critic for Sparse-Reward Long-Horizon Reinforcement Learning

DGX agent

arXiv:2607.23726v1 Announce Type: cross Abstract: Exploration in sparse-reward long-horizon tasks poses significant challenges for reinforcement learning. To address these challenges, we propose a two

safetyarxiv-cs-lg
28 Jul 2026
Safety

How LLM Task-Adaptation Reshapes Alignment: A Multi-dimensional Study of Behavioral and Representational Drift

DGX agent

arXiv:2607.22676v1 Announce Type: new Abstract: Post-training is a key mechanism for adapting large language models to downstream tasks. While prior work suggests that task adaptation can alter a mode

safetyarxiv-cs-ai
28 Jul 2026
Safety

Hybrid AI-Physical Modeling for Penetration Bias Correction in X-band InSAR DEMs: A Greenland Case Study

DGX agent

arXiv:2504.08909v2 Announce Type: replace Abstract: Digital elevation models derived from Interferometric Synthetic Aperture Radar (InSAR) data over glacial and snow-covered regions often exhibit syst

safetyarxiv-cs-ai
28 Jul 2026
Safety

IJCB-AFMFR 2026: Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data

DGX agent

arXiv:2607.24422v1 Announce Type: new Abstract: This paper presents a summary of the Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data (AFMFR), held at the 2

safetyarxiv-cs-cv
28 Jul 2026
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