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…
AI News Brief Hourly Summary 2026-09-12 13h : 12 posts
12 posts published in the last hour 10:32COBRA-Skills: Contextual Bandit-Guided Evolution for Agent Skill Optimization 10:32Autonomy, Social Norms, and Alignment: Towards a Developmental Framework for Autonomous Artificial Agents 10:32Geospatial AI, Dataverse Metadata, and the Study of Place-Based Government 10:32When Agents…
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…
Characterizing Job Power Elasticity for Power-Flexible AI Training
arXiv:2609.11542v1 Announce Type: new Abstract: Large language model (LLM) training is among the fastest-growing sources of electricity demand in modern…
Distributed Optimization of Modular Production Systems using Model-based Reinforcement Learning with Inverse Models
arXiv:2609.11615v1 Announce Type: new Abstract: This paper presents a novel approach for data-driven self-learning control of highly flexible, modular…
MAPLE: Memory-Augmented Planning with Language and Evolution
arXiv:2609.11636v1 Announce Type: new Abstract: Domain practitioners understand their business constraints but may lack operations-research expertise or…
Making Alternative Data Work: Context-Augmented LLMs for Financial Forecasting
arXiv:2609.11607v1 Announce Type: new Abstract: When forecasting a firm’s future financial performance, alternative data – data collected from…
AI News Brief Hourly Summary 2026-09-12 12h : 16 posts
16 posts published in the last hour 09:32Extending SMT Solving with Non-Ground Clause Learning 09:32From Document Silos to Process Intelligence: A Multi-Layer Knowledge Graph for CMC Process Development 09:32ActMap: Single-Pass Uncertainty Quantification from Generation-Time Activation Maps 09:32Meet Redis LangCache: A…
Extending SMT Solving with Non-Ground Clause Learning
arXiv:2609.11509v1 Announce Type: new Abstract: Quantifier instantiation is currently the main approach to non-ground SMT solving: solvers generate ground…
From Document Silos to Process Intelligence: A Multi-Layer Knowledge Graph for CMC Process Development
arXiv:2609.11493v1 Announce Type: new Abstract: Chemistry, Manufacturing and Controls (CMC) process development generates an enormous body of technical…
ActMap: Single-Pass Uncertainty Quantification from Generation-Time Activation Maps
arXiv:2609.11498v1 Announce Type: new Abstract: Practical uncertainty quantification (UQ) for large language models must decide, from a single generation,…