Adobe’s Shantanu Narayen announced plans to step down as CEO last month after 18 years leading software vendor through several periods of tech change from the arrival of the cloud, mobile computing, and the early days of artifici…
arXiv:2604.06491v1 Announce Type: cross
Abstract: We introduce Discrete flow Matching policy Optimization (DoMinO), a unified framework for Reinforcement Learning (RL) fine-tuning Discrete Flow Matching (DFM) models under a broad class of policy gradi…
arXiv:2405.11619v2 Announce Type: replace-cross
Abstract: Phishing emails continue to pose a significant threat, causing financial losses and security breaches. This study addresses limitations in existing research, such as reliance on proprietary dat…
arXiv:2409.09298v2 Announce Type: replace-cross
Abstract: The Matrix Profile (MP), a versatile tool for time series data mining, has been shown effective in time series anomaly detection (TSAD). This paper delves into the problem of anomaly detection …
arXiv:2604.06515v1 Announce Type: cross
Abstract: Sparse Mixture-of-Experts (MoE) allows scaling of language and vision models efficiently by activating only a small subset of experts per input. While this reduces computation, the large number of para…
arXiv:2411.18084v2 Announce Type: replace-cross
Abstract: Mobile apps are essential in daily life but frequently employ deceptive patterns, such as visual emphasis or linguistic nudging, to manipulate user behavior. Existing research largely relies on…
arXiv:2503.17181v3 Announce Type: replace-cross
Abstract: Despite the rapid progress of large language models (LLMs) in code generation, existing evaluations focus on functional correctness or syntactic validity, overlooking how LLMs make critical des…
arXiv:2506.05171v3 Announce Type: replace-cross
Abstract: Embodied AI systems, comprising AI models and physical plants, are increasingly prevalent across various applications. Due to the rarity of system failures, ensuring their safety in complex ope…
arXiv:2604.06566v1 Announce Type: cross
Abstract: As the complexity of modern workloads and hardware increasingly outpaces human research and engineering capacity, existing methods for database performance optimization struggle to keep pace. To addres…
arXiv:2507.18937v3 Announce Type: replace-cross
Abstract: Due to limited computational resources, medium-range temperature forecasts typically rely on low-resolution numerical weather prediction (NWP) models, which are prone to systematic and random e…