「qa」の検索結果
11 件Scaling depth is a key route to stronger large language models, but Pre-LN architectures often suffer from dep
Automated liver ultrasound report generation improves the diagnosis of liver diseases by producing clinically
Retrieval-augmented generation (RAG) extends large language models with external evidence, yet relevant eviden
Multimodal large language models (MLLMs) have shown strong potential in robotic surgery for question answering
On-policy distillation (OPD) can improve answer accuracy while weakening responsiveness to supporting evidence
Vision-language models for remote sensing answer questions about satellite images by generating text: every an
Retrieval-augmented generation (RAG) lets a large language model (LLM) answer questions by retrieving relevant
An effective agent memory system should adapt to a user's history and task requirements. Human-annotated super
Retrieval-augmented generation commonly serves separate models for reranking and answering, duplicating model
In recent years, agentic orchestration has been widely applied to solve complex human tasks. However, existing
Face image quality assessment (FIQA) estimates the utility of a face image for automated face recognition and