arXiv:2608.28647v1 Announce Type: new Abstract: Target-only post-training can improve performance in a specialized domain while degrading behaviors that a…
A Generalized Optimization Engine (GOE) for Edge AI Inference Acceleration
arXiv:2608.28652v1 Announce Type: new Abstract: Artificial intelligence (AI) models have demonstrated remarkable capabilities across various domains, yet…
BiasMix-Finance: Post-Generation KYC Guardrails for LLM Portfolio Advice
arXiv:2608.28646v1 Announce Type: new Abstract: Large language models (LLMs) can generate plausible-sounding ETF portfolios while silently violating basic…
From Extraction to Governed Memory: Multi-Agent Knowledge Graph Construction with Domain-Expert Review
arXiv:2608.28642v1 Announce Type: new Abstract: Knowledge graphs used by agentic systems are often treated as flat stores of extracted triples, with…
CrossAudit: A Git-Native, Cross-Vendor Audit Loop for Agentic Science
arXiv:2608.28631v1 Announce Type: new Abstract: An AI scientist should not grade its own homework. Yet in the systems we examined, the agent that reviews…
AI Scientist Mission Control (AIMC): Visual Analytics for Human Oversight of Autonomous Scientific Discovery
arXiv:2608.28637v1 Announce Type: new Abstract: Autonomous scientific discovery systems can generate large numbers of research ideas, experiments, and…
Self-Evolving Skills via Surrogate-Guided Solve-and-Reproduce
arXiv:2608.28638v1 Announce Type: new Abstract: Agent skills are portable packages of instructions and resources an agent consults at deployment.…
Reward-Oracle MCTS for Formal Theorem Proving: Sample-Efficient Search and the Need for Kernel-Level Proof Auditing
arXiv:2608.28639v1 Announce Type: new Abstract: Formal theorem proving with large language models remains challenging due to the difficulty of navigating…
AutoScientist-Quant: Self-Evolving Coding Agents for Automatic Research in Quantitative Investment
arXiv:2608.28632v1 Announce Type: new Abstract: Large language model agents can discover alphas, yet current methods have three weaknesses. The search…
AI News Brief Hourly Summary 2026-09-01 08h : 12 posts
12 posts published in the last hour 05:33CDEP Agent: Connecting Meteorologically Detected Temporal Compound Events to Real-World Documentary Evidence 05:33TPvG: A Moral Decision Framework for Large Language Models from One-Shot to Sequential Feedback 05:32Machine Learning-Enhanced Tabu Search for Tactical Wireless…
CDEP Agent: Connecting Meteorologically Detected Temporal Compound Events to Real-World Documentary Evidence
arXiv:2608.28628v1 Announce Type: new Abstract: Compound drought-to-extreme-precipitation (CDEP) events are recognized in climate science as a growing…
TPvG: A Moral Decision Framework for Large Language Models from One-Shot to Sequential Feedback
arXiv:2608.28610v1 Announce Type: new Abstract: Existing LLM moral evaluations typically present models with isolated moral vignettes and elicit a…
Machine Learning-Enhanced Tabu Search for Tactical Wireless Network Design
arXiv:2608.28627v1 Announce Type: new Abstract: Designing high-performance tactical wireless networks under realistic operational constraints gives rise…
OpenAI Backs California Bill on Youth Safety Rules for Companion Chatbots
OpenAI said on August 31, 2026, that it supports California Senate Bill 1119, legislation that would impose safety obligations on operators of companion…
InternReviewer & InternAdvocate: Objective Reward and Evaluation for Agentic Reinforcement Learning in Peer Review and Rebuttal
arXiv:2608.28612v1 Announce Type: new Abstract: Generating professional scholarly content, such as peer reviews and rebuttals, requires an intricate…
OpenAI supports California’s bill to advance youth AI safety
OpenAI supports California SB 1119, advancing strong, age-appropriate AI safeguards for teens while preserving opportunities to learn, create, and explore.
Preference Elicitation for Policy Optimization and Application to Aligning Heart Transplantation with Human Values
arXiv:2608.28620v1 Announce Type: new Abstract: Preference elicitation is essential for aligning AI systems with human values. Prior approaches (e.g., for…
Integrating Triaxial IMU Sensors and Ensemble Learning for Effective Parkinson Disease Severity Classification
arXiv:2608.28602v1 Announce Type: new Abstract: Parkinson disease PD is a progressive neurodegenerative disease that can have a significant impact on…