arXiv:2608.14569v1 Announce Type: new Abstract: Neural solvers for constraint satisfaction problems have achieved remarkable in-distribution accuracy, yet…
From Doyle to AGM: A Survey and an Implementation Roadmap for Belief Change
arXiv:2608.14567v1 Announce Type: new Abstract: This paper presents a targeted narrative review establishing the historical and theoretical foundations…
Position: Evaluations of AI Moral Reasoning Still Miss Half of the Picture
arXiv:2608.14566v1 Announce Type: new Abstract: Recent work on evaluating the moral competence of large language models (LLMs) has focused primarily on…
Position: AI Governance Needs ISO-like Interoperability Protocols, Not Just Laws
arXiv:2608.14568v1 Announce Type: new Abstract: As Artificial Intelligence (AI) systems become deeply integrated into critical global infrastructure, the…
Large Language Models Show Metacognitive Sensitivity in Medical Reasoning
arXiv:2608.14552v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly evaluated and used in medicine, but clinical usefulness…
FLOPs vs Real Work: The Importance of Replication in AI Efficiency Assessment
arXiv:2608.14550v1 Announce Type: new Abstract: AI efficiency has recently taken the spotlight in both academy and industry due to massive model scales,…
When to Communicate: Belief Distributions and KL Divergence for Principled Gating in Multi-Agent RL
arXiv:2608.14559v1 Announce Type: new Abstract: Effective communication in multi-agent reinforcement learning requires agents to decide not only…
Global AI Regulations for FAIR and Ethics in High-Risk Use Cases: A Comparative Review
arXiv:2608.14562v1 Announce Type: new Abstract: AI governance is shifting from voluntary ethics to enforceable, risk-based regulation, yet…
The Unwritten Benchmark: A New Challenge for Multimodal Machine Learning in Abstract Perceptual Reasoning
arXiv:2608.14558v1 Announce Type: new Abstract: Current multimodal models have demonstrated remarkable proficiency in recognizing static visual and…
AI News Brief Hourly Summary 2026-08-18 06h : 11 posts
11 posts published in the last hour 03:32OCOO-T : A Simple and Scalable Virtual Cell Model for Transcriptional Perturbation Response Prediction 03:32Breaking Chains with Trees: Model-Parallel Deep Learning with $\mathcal{O}(\log N)$ Time Complexity 03:32RL-Index: Reinforcement Learning for Retrieval Index Reasoning…
OCOO-T : A Simple and Scalable Virtual Cell Model for Transcriptional Perturbation Response Prediction
arXiv:2606.12838v2 Announce Type: replace-cross Abstract: Predicting single-cell transcriptional responses to genetic, chemical and cytokine perturbations…
Breaking Chains with Trees: Model-Parallel Deep Learning with $\mathcal{O}(\log N)$ Time Complexity
arXiv:2606.21497v2 Announce Type: replace-cross Abstract: Modern deep neural networks are trained using error backpropagation, which requires sequential…
RL-Index: Reinforcement Learning for Retrieval Index Reasoning
arXiv:2606.16316v2 Announce Type: replace-cross Abstract: Retrieving external knowledge is crucial for real-world tasks but remains difficult when queries…
Beyond aggregate scores: Deployment-aware and non-compensatory benchmarking of vision-based eye-state recognition models for driver monitoring
arXiv:2606.08123v2 Announce Type: replace-cross Abstract: Model selection for safety-relevant visual recognition is often based on clean aggregate…
Event-Conditioned Diagnostics of Kinematic, Contact, and Object-Permanence Fields in Passive Object-State World Models
arXiv:2606.28455v2 Announce Type: replace-cross Abstract: World models can predict future physical states, but prediction accuracy alone does not explain…
Fine-grained Claim-level RAG Benchmark for Law
arXiv:2605.21071v4 Announce Type: replace-cross Abstract: The rapid progress of large language models (LLMs) is shifting semantic search toward a…
TIDE: Proactive Multi-Problem Discovery via Template-Guided Iteration
arXiv:2606.04743v2 Announce Type: replace-cross Abstract: Agents are widely deployed as assistants over documents, tools, and code. However, they…
PhoneWorld: Scaling Phone-Use Agent Environments
arXiv:2605.29486v2 Announce Type: replace-cross Abstract: A central bottleneck for phone-use agents is that controllable, reproducible environments…