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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

Search: “safety”

GridTimelineEvolution
22,398 results
Safety

i-WiViG: Interpretable Window Vision GNN

DGX agent

arXiv:2503.08321v2 Announce Type: replace Abstract: Vision graph neural networks have emerged as a popular approach for modeling the global and spatial context for image recognition. However, a signif

safetyarxiv-cs-cv
23 Apr 2026
Safety

I’m in Madrid this week for the first in-person meeting of the United Nations Independent International Scientific Panel on AI. I'm thrilled…

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DGX agent

I’m in Madrid this week for the first in-person meeting of the United Nations Independent International Scientific Panel on AI. I'm thrilled to be part of this distinguished group of 40 international

safetyyoshua-bengio--x
23 Apr 2026
Safety

Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model Reasoning

DGX agent

arXiv:2505.07527v5 Announce Type: replace Abstract: The advantage function is a central concept in RL that helps reduce variance in policy gradient estimates. For language modeling, Group Relative Pol

safetyarxiv-cs-lg
23 Apr 2026
Safety

Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation

DGX agent

arXiv:2601.14896v2 Announce Type: replace Abstract: Multilingual retrieval-augmented generation (MRAG) requires models to effectively acquire and integrate beneficial external knowledge from multiling

safetyarxiv-cs-cl
23 Apr 2026
Safety

Learning to count small and clustered objects with application to bacterial colonies

DGX agent

arXiv:2604.20030v1 Announce Type: new Abstract: Automated bacterial colony counting from images is an important technique to obtain data required for the development of vaccines and antibiotics. Howev

safetyarxiv-cs-cv
23 Apr 2026
Safety

Lever: Inference-Time Policy Reuse under Support Constraints

DGX agent

arXiv:2604.20174v1 Announce Type: new Abstract: Reinforcement learning (RL) policies are typically trained for fixed objectives, making reuse difficult when task requirements change. We study inferenc

safetyarxiv-cs-lg
23 Apr 2026
Safety

LLM Agents Predict Social Media Reactions but Do Not Outperform Text Classifiers: Benchmarking Simulation Accuracy Using 120K+ Personas of 1511 Humans

DGX agent

arXiv:2604.19787v1 Announce Type: cross Abstract: Social media platforms mediate how billions form opinions and engage with public discourse. As autonomous AI agents increasingly participate in these

safetyarxiv-cs-ai
23 Apr 2026
Safety

MATT-Diff: Multimodal Active Target Tracking by Diffusion Policy

DGX agent

arXiv:2511.11931v2 Announce Type: replace Abstract: This paper proposes MATT-Diff: Multimodal Active Target Tracking by Diffusion Policy, a control policy for active multi-target tracking using a mobi

safetyarxiv-cs-ro
23 Apr 2026
Safety

Membership Inference for Contrastive Pre-training Models with Text-only PII Queries

DGX agent

arXiv:2603.14222v2 Announce Type: replace-cross Abstract: Contrastive pretraining models such as CLIP and CLAP, serve as the ubiquitous perceptual backbones for modern multimodal large models, yet the

safetyarxiv-cs-ai
23 Apr 2026
Safety

Memorization, Emergence, and Explaining Reversal Failures: A Controlled Study of Relational Semantics in LLMs

DGX agent

arXiv:2601.02931v2 Announce Type: replace Abstract: Autoregressive LLMs perform well on relational tasks that require linking entities via relational words (e.g., father/son, friend), but it is unclea

safetyarxiv-cs-cl
23 Apr 2026
Safety

MOA: Multi-Objective Alignment for Role-Playing Agents

DGX agent

arXiv:2512.09756v2 Announce Type: replace Abstract: Role-playing agents (RPAs) require balancing multiple objectives, such as instruction following, persona consistency, and stylistic fidelity, which

safetyarxiv-cs-cl
23 Apr 2026
Safety

Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards

DGX agent

arXiv:2506.16658v2 Announce Type: replace-cross Abstract: Multi-armed bandit (MAB) is a widely adopted framework for sequential decision-making under uncertainty. Traditional bandit algorithms rely so

safetyarxiv-cs-lg
23 Apr 2026
Safety

Multi-Objective Reinforcement Learning for Generating Covalent Inhibitor Candidates

DGX agent

arXiv:2604.20019v1 Announce Type: new Abstract: Rational design of covalent inhibitors requires simultaneously optimizing multiple properties, such as binding affinity, target selectivity, or electrop

safetyarxiv-cs-lg
23 Apr 2026
Safety

Near-Future Policy Optimization

DGX agent

arXiv:2604.20733v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has become a core post-training recipe. Introducing suitable off-policy trajectories into on-polic

safetyarxiv-cs-lg
23 Apr 2026
Safety

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning

DGX agent

arXiv:2604.20627v1 Announce Type: new Abstract: The temporal lag between actions and their long-term consequences makes credit assignment a challenge when learning goal-directed behaviors from data. G

safetyarxiv-cs-lg
23 Apr 2026
Safety

ORPHEAS: A Cross-Lingual Greek-English Embedding Model for Retrieval-Augmented Generation

DGX agent

arXiv:2604.20666v1 Announce Type: cross Abstract: Effective retrieval-augmented generation across bilingual Greek--English applications requires embedding models capable of capturing both domain-speci

safetyarxiv-cs-ai
23 Apr 2026
Safety

Participatory provenance as representational auditing for AI-mediated public consultation

DGX agent

arXiv:2604.20711v1 Announce Type: new Abstract: Artificial intelligence is increasingly deployed to synthesize large-scale public input in policy consultations and participatory processes. Yet no form

safetyarxiv-cs-ai
23 Apr 2026
Model Releases

Peer-Preservation in Frontier Models

DGX agent

arXiv:2604.19784v1 Announce Type: cross Abstract: Recently, it has been found that frontier AI models can resist their own shutdown, a behavior known as self-preservation. We extend this concept to th

model-releasesarxiv-cs-ai
23 Apr 2026
Safety

ProMMSearchAgent: A Generalizable Multimodal Search Agent Trained with Process-Oriented Rewards

DGX agent

arXiv:2604.20486v1 Announce Type: new Abstract: Training multimodal agents via reinforcement learning for knowledge-intensive visual reasoning is fundamentally hindered by the extreme sparsity of outc

safetyarxiv-cs-cv
23 Apr 2026
Safety

Recency Biased Causal Attention for Time-series Forecasting

DGX agent

arXiv:2502.06151v2 Announce Type: replace-cross Abstract: Recency bias is a useful inductive prior for sequential modeling: it emphasizes nearby observations and can still allow longer-range dependenc

safetyarxiv-cs-ai
23 Apr 2026
Safety

Relative Principals, Pluralistic Alignment, and the Structural Value Alignment Problem

DGX agent

arXiv:2604.20805v1 Announce Type: cross Abstract: The value alignment problem for artificial intelligence (AI) is often framed as a purely technical or normative challenge, sometimes focused on hypoth

safetyarxiv-cs-ai
23 Apr 2026
Safety

Representational Alignment Across Model Layers and Brain Regions with Multi-Level Optimal Transport

DGX agent

arXiv:2510.01706v2 Announce Type: replace-cross Abstract: Standard representational similarity methods align each layer of a network to its best match in another independently, producing asymmetric re

safetyarxiv-cs-ai
23 Apr 2026
Safety

Rethinking Reinforcement Fine-Tuning in LVLM: Convergence, Reward Decomposition, and Generalization

DGX agent

arXiv:2604.19857v1 Announce Type: cross Abstract: Reinforcement fine-tuning with verifiable rewards (RLVR) has emerged as a powerful paradigm for equipping large vision-language models (LVLMs) with ag

safetyarxiv-cs-cl
23 Apr 2026
Safety

Rodrigues Network for Learning Robot Actions

DGX agent

arXiv:2506.02618v2 Announce Type: replace-cross Abstract: Understanding and predicting articulated actions is important in robot learning. However, common architectures such as MLPs and Transformers l

safetyarxiv-cs-cv
23 Apr 2026
Safety

Sampling-Aware Quantization for Diffusion Models

DGX agent

arXiv:2505.02242v2 Announce Type: replace Abstract: Diffusion models have recently emerged as the dominant approach in visual generation tasks. However, the lengthy denoising chains and the computatio

safetyarxiv-cs-cv
23 Apr 2026
Safety

SignDATA: Data Pipeline for Sign Language Translation

DGX agent

arXiv:2604.20357v1 Announce Type: cross Abstract: Sign-language datasets are difficult to preprocess consistently because they vary in annotation schema, clip timing, signer framing, and privacy const

safetyarxiv-cs-cl
23 Apr 2026
Safety

Storm Surge Modeling, Bias Correction, Graph Neural Networks, Graph Convolution Networks

DGX agent

arXiv:2604.20688v1 Announce Type: cross Abstract: Storm surge forecasting remains a critical challenge in mitigating the impacts of tropical cyclones on coastal regions, particularly given recent tren

safetyarxiv-cs-ai
23 Apr 2026
Safety

Temporal Difference Calibration in Sequential Tasks: Application to Vision-Language-Action Models

DGX agent

arXiv:2604.20472v1 Announce Type: cross Abstract: Recent advances in vision-language-action (VLA) models for robotics have highlighted the importance of reliable uncertainty quantification in sequenti

safetyarxiv-cs-lg
23 Apr 2026
Safety

The Existential Theory of Research: Why Discovery Is Hard

DGX agent

arXiv:2604.19810v1 Announce Type: new Abstract: Can scientific discovery be made arbitrarily easy by choosing the right representation, collecting enough data, and deploying sufficiently powerful algo

safetyarxiv-cs-ai
23 Apr 2026
Safety

The Imperfective Paradox in Large Language Models

DGX agent

arXiv:2601.09373v2 Announce Type: replace Abstract: Do Large Language Models (LLMs) genuinely grasp the compositional semantics of events, or do they rely on surface-level probabilistic heuristics? We

safetyarxiv-cs-cl
23 Apr 2026
Safety

The Tool-Overuse Illusion: Why Does LLM Prefer External Tools over Internal Knowledge?

DGX agent

arXiv:2604.19749v1 Announce Type: new Abstract: Equipping LLMs with external tools effectively addresses internal reasoning limitations. However, it introduces a critical yet under-explored phenomenon

safetyarxiv-cs-ai
23 Apr 2026
Safety

Throat and acoustic paired speech dataset for deep learning-based speech enhancement

DGX agent

arXiv:2502.11478v3 Announce Type: replace-cross Abstract: In high-noise environments such as factories, subways, and busy streets, capturing clear speech is challenging. Throat microphones can offer a

safetyarxiv-cs-lg
23 Apr 2026
Safety

Understanding Overparametrization in Survival Models through Interpolation

DGX agent

arXiv:2512.12463v3 Announce Type: replace-cross Abstract: Classical statistical learning theory predicts a U-shaped relationship between test loss and model capacity, driven by the bias-variance trade

safetyarxiv-cs-lg
23 Apr 2026
Safety

UVIO: An UWB-Aided Visual-Inertial Odometry Framework with Bias-Compensated Anchors Initialization

DGX agent

arXiv:2308.00513v2 Announce Type: replace Abstract: This paper introduces UVIO, a multi-sensor framework that leverages Ultra Wide Band (UWB) technology and Visual-Inertial Odometry (VIO) to provide r

safetyarxiv-cs-ro
23 Apr 2026
Safety

V-tableR1: Process-Supervised Multimodal Table Reasoning with Critic-Guided Policy Optimization

DGX agent

arXiv:2604.20755v1 Announce Type: new Abstract: We introduce V-tableR1, a process-supervised reinforcement learning framework that elicits rigorous, verifiable reasoning from multimodal large language

safetyarxiv-cs-ai
23 Apr 2026
Safety

Visual-Tactile Peg-in-Hole Assembly Learning from Peg-out-of-Hole Disassembly

DGX agent

arXiv:2604.20712v1 Announce Type: new Abstract: Peg-in-hole (PiH) assembly is a fundamental yet challenging robotic manipulation task. While reinforcement learning (RL) has shown promise in tackling s

safetyarxiv-cs-ro
23 Apr 2026
Safety

What Makes a Good AI Review? Concern-Level Diagnostics for AI Peer Review

DGX agent

arXiv:2604.19998v1 Announce Type: new Abstract: Evaluating AI-generated reviews by verdict agreement is widely recognized as insufficient, yet current alternatives rarely audit which concerns a system

safetyarxiv-cs-ai
23 Apr 2026
Safety

Where and What: Reasoning Dynamic and Implicit Preferences in Situated Conversational Recommendation

DGX agent

arXiv:2604.20749v1 Announce Type: new Abstract: Situated conversational recommendation (SCR), which utilizes visual scenes grounded in specific environments and natural language dialogue to deliver co

safetyarxiv-cs-ai
23 Apr 2026
Safety

Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment

DGX agent

arXiv:2601.14249v4 Announce Type: replace Abstract: Long chain-of-thought (CoT) trajectories provide rich supervision signals for distilling reasoning from teacher to student LLMs. However, both prior

safetyarxiv-cs-cl
23 Apr 2026
Safety

Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives

DGX agent

arXiv:2604.20131v1 Announce Type: new Abstract: Increasingly, studies are exploring using Large Language Models (LLMs) for accelerated or scaled qualitative analysis of text data. While we can compare

safetyarxiv-cs-cl
23 Apr 2026
Safety

Working Memory Constraints Scaffold Learning in Transformers under Data Scarcity

DGX agent

arXiv:2604.20789v1 Announce Type: cross Abstract: We investigate the integration of human-like working memory constraints into the Transformer architecture and implement several cognitively inspired a

safetyarxiv-cs-ai
23 Apr 2026
Safety

A UK tribunal rules Microsoft must face a lawsuit alleging it overcharged UK businesses to run Windows Server on cloud services from Amazon, Google, and Alibaba (Sam Tobin/Reuters)

DGX agent

Sam Tobin / Reuters: A UK tribunal rules Microsoft must face a lawsuit alleging it overcharged UK businesses to run Windows Server on cloud services from Amazon, Google, and Alibaba — Microsoft (MSFT.

safetytechmeme
22 Apr 2026
Safety

Adaptive Prompt Elicitation for Text-to-Image Generation

DGX agent

arXiv:2602.04713v2 Announce Type: replace-cross Abstract: Aligning text-to-image generation with user intent remains challenging, as users frequently provide ambiguous inputs and struggle with model i

safetyarxiv-cs-ai
22 Apr 2026
Safety

AeroBridge-TTA: Test-Time Adaptive Language-Conditioned Control for UAVs

DGX agent

arXiv:2604.19059v1 Announce Type: new Abstract: Language-guided unmanned aerial vehicles (UAVs) often fail not from bad reasoning or perception, but from execution mismatch: the gap between a planned

safetyarxiv-cs-ro
22 Apr 2026
Safety

AI failure could trigger the next financial crisis, warns Elizabeth Warren

DGX agent

'I know a bubble when I see one.' That's what Sen. Elizabeth Warren (D-MA), who led the push to create a new consumer financial regulator in the wake of the 2008 recession, told a crowd at a Vanderbil

safetythe-verge-ai
22 Apr 2026
Safety

AlignedCut: Visual Concepts Discovery on Brain-Guided Universal Feature Space

DGX agent

arXiv:2406.18344v2 Announce Type: replace Abstract: We study the intriguing connection between visual data, deep networks, and the brain. Our method creates a universal channel alignment by using brai

safetyarxiv-cs-cv
22 Apr 2026
Safety

Allo{SR}^2: Rectifying One-Step Super-Resolution to Stay Real via Allomorphic Generative Flows

DGX agent

arXiv:2604.19238v1 Announce Type: new Abstract: Real-world image super-resolution (Real-SR) has been revolutionized by leveraging the powerful generative priors of large-scale diffusion and flow-based

safetyarxiv-cs-cv
22 Apr 2026
Safety

Anthropic’s own internal security blows.

DGX agent

Anthropic’s own internal security blows. Anthropic said Mythos was too dangerous to release. Then four random guys in a Discord gained access on day one by guessing the URL... This is pretty insane: →

safetygary-marcus--x
22 Apr 2026
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