ERUnderstand: Evaluating Vision-Language Models on Structured ER Diagrams
Entity-Relationship Diagrams (ERDs) are central to conceptual database design, yet they are typically available only ...
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Entity-Relationship Diagrams (ERDs) are central to conceptual database design, yet they are typically available only ...
Trapped-ion quantum computers rely on shuttling compilers, which cast an input algorithm into a sequence of ion-qubit...
Pretraining data processing is critical to the downstream performance of Large Language Models (LLMs). However, many ...
Multi-turn long-horizon planning is critical for foundation model agents, yet how to fundamentally improve it remains...
Computer vision models have become highly effective for medical applications, yet their black-box nature continues to...
On-policy distillation (OPD) adapts diffusion models by querying a teacher along trajectories generated by the curren...
Multimodal large language models (MLLMs) hold immense potential to revolutionize clinical practice, yet deploying the...
Recent generative models are moving beyond silent video or standalone audio synthesis toward the joint generation of ...
Agentic search enables large language models to solve knowledge-intensive tasks by interleaving multi-step reasoning ...
While data curation for Vision Language Models (VLMs) is increasingly active, public practice for constructing pretra...
Creative AI is moving from single-step asset generation toward long-horizon multimodal production. Although recent ge...
We introduce Kimi K3, a 2.8T parameter Mixture-of-Experts model with 104 billion activated parameters, native vision ...