arXiv:2604.26991v1 Announce Type: new
Abstract: Recent advances in data-centric medical AI have produced highly accurate diagnostic systems, but the emphasis on data curation and performance metrics has not translated into widespread clinical adoption…
arXiv:2604.27616v1 Announce Type: new
Abstract: People commonly leverage structured content to accelerate knowledge acquisition and research problem solving. Among these, roadmaps guide researchers through hierarchical subtasks to solve complex resear…
Cloudflare is giving AI agents full autonomy to spin up new apps.
Starting today, agents working on behalf of humans can create a Cloudflare account, begin a paid subscription, register a domain, and then receive an API token …
Safe agents don’t guarantee a safe ecosystem of interconnected agents. Microsoft Research examines what breaks when AI agents interact and why network-level risks require new approaches.
The post Red-teaming a network of agents: Understanding what breaks when AI agents interact at scale appeared first on Microsoft Research.
arXiv:2506.16742v3 Announce Type: replace
Abstract: To be adopted in safety-critical domains like medical image analysis, AI systems must provide human-interpretable decisions. Variational Information Pursuit (V-IP) offers an interpretable-by-design f…
arXiv:2509.23980v2 Announce Type: replace
Abstract: Diffusion models have recently shown promising results for video super-resolution (VSR). However, directly adapting generative diffusion models to VSR can result in redundancy, since low-quality vide…
arXiv:2512.20340v3 Announce Type: replace
Abstract: Although diffusion transformer (DiT)-based video virtual try-on (VVT) has made significant progress in synthesizing realistic videos, existing methods still struggle to capture fine-grained garment d…
arXiv:2601.13606v2 Announce Type: replace
Abstract: Chart reasoning is a critical capability for Vision Language Models (VLMs). However, the development of open-source models is severely hindered by the lack of high-quality training data. Existing dat…
arXiv:2604.26614v1 Announce Type: new
Abstract: Multimodal large language models (MLLMs) have achieved impressive progress on general multimodal tasks, yet they remain brittle on dial-based measurement reading. In this paper, we study this problem thr…
arXiv:2603.03239v2 Announce Type: replace
Abstract: Earth observation applications increasingly rely on data from multiple sensors, including optical, radar, elevation, and land-cover. Relationships between modalities are fundamental for data integrat…