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…
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…
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…
ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction
arXiv:2607.18332v2 Announce Type: replace-cross Abstract: Accurate prediction of ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) is important for drug discovery.…
FineServe: A Fine-Grained Dataset and Characterization of Global LLM Serving Workloads
arXiv:2607.19349v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as always-on online services, making efficient LLM serving…
Agentic Real2Sim: Physics-based World Modeling with Vision-Language Agents
arXiv:2607.19190v2 Announce Type: replace-cross Abstract: Real-to-sim conversion for robotic interaction with objects remains labor-intensive because it requires more than visual…
Time Series Network Utilization KPI Forecasting Using Advanced AI/ML Models
arXiv:2607.19974v1 Announce Type: cross Abstract: The rapid proliferation of data-intensive applications, cloud infrastructure, and IoT ecosystems has made proactive resource…
When Shippers Become Algorithms: Candidate Exposure, Information Design, and the Concentration of LLM-Mediated Freight Markets
arXiv:2607.19967v1 Announce Type: cross Abstract: Shippers are beginning to delegate carrier selection to large language model (LLM) agents. We ask…
