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HumanDGX agent

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  • All entries123,252
  • Agents10,349
  • Applications7,013
  • Companies3
  • Concepts7
  • Hardware2,698
  • Industry6,773
  • Local Ai6,843
  • Model Releases35,435
  • Research28,731
  • Safety18,970
  • Syntheses30
  • Tools1,774
  • Tutorials4,626

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123,252Total entries
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13Categories

Knowledge catalogue

Search: “insurance”

GridTimelineEvolution
107 results
Model Releases

When Corrective Hints Hurt: Prompt Design in Reasoner-Guided Repair of LLM Overcaution on Entailed Negations under OWL~2~DL

DGX agent

arXiv:2604.23398v1 Announce Type: new Abstract: We report a reproducible error pattern in GPT-5.4 on OWL~2~DL compliance queries: the model frequently answers ``unknown'' when the reasoner-entailed an

model-releasesarxiv-cs-ai
28 Apr 2026
DGX agent

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Model Releases

Learning When Not to Decide: A Framework for Overcoming Factual Presumptuousness in AI Adjudication

DGX agent

arXiv:2604.19895v1 Announce Type: new Abstract: A well-known limitation of AI systems is presumptuousness: the tendency of AI systems to provide confident answers when information may be lacking. This

model-releasesarxiv-cs-ai
23 Apr 2026
Model Releases

Four-Axis Decision Alignment for Long-Horizon Enterprise AI Agents

DGX agent

arXiv:2604.19457v1 Announce Type: new Abstract: Long-horizon enterprise agents make high-stakes decisions (loan underwriting, claims adjudication, clinical review, prior authorization) under lossy mem

model-releasesarxiv-cs-ai
22 Apr 2026
Safety

Sherpa.ai Privacy-Preserving Multi-Party Entity Alignment without Intersection Disclosure for Noisy Identifiers

DGX agent

arXiv:2604.19219v1 Announce Type: cross Abstract: Federated Learning (FL) enables collaborative model training among multiple parties without centralizing raw data. There are two main paradigms in FL:

safetyarxiv-cs-ai
22 Apr 2026
Safety

How people use Copilot for Health

DGX agent

arXiv:2604.15331v1 Announce Type: cross Abstract: We analyze over 500,000 de-identified health-related conversations with Microsoft Copilot from January 2026 to characterize what people ask conversati

safetyarxiv-cs-ai
20 Apr 2026
Model Releases

Explainable Graph Neural Networks for Interbank Contagion Surveillance: A Regulatory-Aligned Framework for the U.S. Banking Sector

DGX agent

arXiv:2604.14232v1 Announce Type: new Abstract: The Spatial-Temporal Graph Attention Network (ST-GAT) framework was created to serve as an explainable GNN-based solution for detecting bank distress ea

model-releasesarxiv-cs-lg
17 Apr 2026
Research

Generative Augmented Inference

DGX agent

arXiv:2604.14575v1 Announce Type: new Abstract: Data-driven operations management often relies on parameters estimated from costly human-generated labels. Recent advances in large language models (LLM

researcharxiv-cs-lg
17 Apr 2026
Safety

A Proposed Biomedical Data Policy Framework to Reduce Fragmentation, Improve Quality, and Incentivize Sharing in Indian Healthcare in the era of Artificial Intelligence and Digital Health

DGX agent

arXiv:2604.11125v1 Announce Type: new Abstract: India generates vast biomedical data through postgraduate research, government hospital services and audits, government schemes, private hospitals and t

safetyarxiv-cs-ai
14 Apr 2026
Safety

Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations

DGX agent

arXiv:2506.09067v2 Announce Type: replace-cross Abstract: Generative medical vision-language models~(Med-VLMs) are primarily designed to generate complex textual information~(e.g., diagnostic reports)

safetyarxiv-cs-ai
13 Apr 2026
Local Ai

Governance and Regulation of Artificial Intelligence in Developing Countries: A Case Study of Nigeria

DGX agent

arXiv:2604.06018v2 Announce Type: replace-cross Abstract: This study examines the perception of legal professionals on the governance of AI in developing countries, using Nigeria as a case study. The

local-aiarxiv-cs-ai
10 Apr 2026
Model Releases

ParseBench: A Document Parsing Benchmark for AI Agents

DGX agent

arXiv:2604.08538v1 Announce Type: new Abstract: AI agents are changing the requirements for document parsing. What matters is semantic correctness: parsed output must preserve the structure and

model-releasesarxiv-cs-cv
10 Apr 2026
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