Beyond IID: How General Are Tabular Foundation Models, Really?
Foundation models for predictive machine learning on tabular data have recently gained significant traction in academ...
每天自动聚合 AI 领域最新动态
Foundation models for predictive machine learning on tabular data have recently gained significant traction in academ...
The advancement of generative AI models capable of producing text and image marks a critical step forward in the real...
Pre-trained Vision Foundation Models (VFMs) have become central to modern computer vision due to their powerful seman...
A faithful 3D world representation should account for layered geometry, where a single camera ray may contain multipl...
Modern large-scale LLM pretraining benefits from utilizing Pipeline Parallelism; however, synchronous implementations...
Despite impressive advances in image matting, video matting remains challenging due to the inherent gap between high-...
Different real-time speech applications impose distinct latency budgets, often requiring separately trained enhanceme...
Fine-tuning on harmless data can partially undo behaviors acquired earlier in training. Safety can erode under benign...
RocketSmith is an agentic system which intelligently automates the DFAM process for the development of high powered r...
Most coding-agent benchmarks are static: an agent receives a complete task description up front and is judged only by...
Representation alignment has emerged as an effective approach to improve Multimodal Large Language Models (MLLMs) by ...
Recent work has demonstrated the potential of large language models (LLMs) for program optimization, a key challenge ...