How to prevent AI from harming mathematics
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AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics
arXiv:2607.20452v1 Announce Type: new Abstract: Modern software quality assurance demands intelligent, autonomous systems capable of adaptive decision-making across distributed cloud…
OPIUM: Mitigating Steering Externalities and Over-Refusal via Dual Objective Latent Optimization
arXiv:2607.19806v2 Announce Type: replace-cross Abstract: Activation steering provides a lightweight mechanism for controlling large language models at inference time, but…
Scaling Interpretable Transformers with Parity Bottleneck Layers
arXiv:2607.20652v1 Announce Type: cross Abstract: Language models are thought to exhibit the phenomenon of superposition, representing many more features than…
SalesLoop: Reinforcement Learning from Performance Feedback for Sales Lead Ranking
arXiv:2607.20655v1 Announce Type: cross Abstract: Lead ranking in Customer Relationship Management (CRM) systems faces a persistent challenge: models achieving high…
Pushing the Frontier of Full-Song Generation: Hierarchical Autoregressive Planning Meets Flow-Matching Rendering
arXiv:2607.20253v2 Announce Type: replace-cross Abstract: In this report, we present a unified song generation framework capable of producing high-quality full-length…
Capable language models can outgrow the benefits of collaboration
Nature Machine Intelligence, Published online: 24 July 2026; doi:10.1038/s42256-026-01268-y A controlled study of large language model agents across 260 configurations…
Thinking and rethinking data AI readiness
Nature Machine Intelligence, Published online: 24 July 2026; doi:10.1038/s42256-026-01288-8 Training machine learning models on high-quality biological datasets can quickly produce…