There are conflicting signals about whether AI is creating or destroying jobs, though many companies have blamed the technology for recent cuts.
Analysts and industry experts say the reality is more nuanced: jobs being lost n…
Introducing GridSFM, a small foundation model that can predict AC optimal power flow in milliseconds, boosting efficiency and unlocking cost savings. Learn how GridSFM gives grid operators direct visibility into congestion, stability, and system health.
The post GridSFM: A new, small foundation model for the electric grid appeared first on Microsoft Research.
Microsoft has unveiled a new AI-driven vulnerability discovery system that identified 16 previously unknown Windows vulnerabilities, including four critical remote code execution flaws, in what security analysts say could mark a …
arXiv:2602.11126v2 Announce Type: replace
Abstract: Offline multi-objective optimization (MOO) aims to recover Pareto-optimal designs given a finite, static dataset. Recent generative approaches, including diffusion models, show strong performance und…
arXiv:2605.12456v1 Announce Type: cross
Abstract: We introduce TextSeal, a state-of-the-art watermark for large language models. Building on Gumbel-max sampling, TextSeal introduces dual-key generation to restore output diversity, along with entropy-w…
arXiv:2605.10983v1 Announce Type: new
Abstract: Reinforcement learning (RL) has shown extraordinary potential in aligning diffusion models to downstream tasks, yet most of them still suffer from significant reward hacking, which degrades generative di…
arXiv:2605.10989v1 Announce Type: new
Abstract: The training of Binary Neural Networks (BNNs) is fundamentally based on gradient approximation for non-differentiable binarization operations (e.g., sign function). However, prevailing methods including …
arXiv:2605.10999v1 Announce Type: new
Abstract: Skills are a promising way to improve LLM agent capabilities without retraining, while keeping the added procedure reusable and controllable. However, high-quality skills are still largely written by han…
arXiv:2605.11005v1 Announce Type: new
Abstract: Mixture-of-experts (MoE) architectures enable trillion-parameter LLMs with sparsely activated experts. Expert parallelism (EP) is a widely adopted MoE training strategy, but it suffers from severe all-to…
arXiv:2605.11887v1 Announce Type: cross
Abstract: Large language models have achieved remarkable capabilities across diverse tasks, yet their internal decision-making processes remain largely opaque, limiting our ability to inspect, control, and syste…