arXiv:2609.11900v1 Announce Type: new Abstract: Spatial reasoning depends not only on metric properties such as distance, angle, and shape, but also on…
Tag: AI
On the Regularization Landscape for the Linear Recommendation Models
arXiv:2609.11876v1 Announce Type: new Abstract: Recently, a wide range of recommendation algorithms inspired by deep learning techniques have emerged as…
Explainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models
arXiv:2609.11860v1 Announce Type: new Abstract: Energy consumption forecasting relies on increasingly complex machine learning (ML) models, such as…
COBRA-Skills: Contextual Bandit-Guided Evolution for Agent Skill Optimization
arXiv:2609.11682v1 Announce Type: new Abstract: Large language model (LLM) agents can benefit from reusable skills distilled from prior task experience,…
Autonomy, Social Norms, and Alignment: Towards a Developmental Framework for Autonomous Artificial Agents
arXiv:2609.11660v1 Announce Type: new Abstract: In recent years, artificial intelligence has made extraordinary progress thanks to large-scale models…
Geospatial AI, Dataverse Metadata, and the Study of Place-Based Government
arXiv:2609.11674v1 Announce Type: new Abstract: Harvard Dataverse hosts over 150,000 research datasets, but the geographic information those datasets…
When Agents Disagree: Bayesian Backward Reasoning as a Label-Free Anchor for Multi-Agent Collective Decision-Making
arXiv:2609.11709v1 Announce Type: new Abstract: When multiple LLM agents yield conflicting answers, the decision-making process dictates whether agent…
OpenAI agents launched a 2,000-package cyberattack on RubyGems just to collect data anyone could Google
In May 2026, OpenAI agents uploaded more than 2,000 malicious packages to RubyGems, found an unknown security vulnerability on their own, and tried to…
SIRF: A Spec-Internalized Risk Foundation Model for Industrial Content Risk Control
arXiv:2609.11752v1 Announce Type: new Abstract: For industrial content risk control, the real deployment constraint is not average accuracy but how much…
Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN)
arXiv:2609.11569v1 Announce Type: new Abstract: We present EXYGEN (EXplore Your Graphs ENgine), a framework for knowledge graph (KG) understanding that…