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Found 5 papers, 1 papers with code
The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation
In this work, we introduce Query-Based Retrieval Augmented Generation (QB-RAG), a novel approach that pre-computes a database of potential queries from a content base using LLMs.
Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection
Large Language Models (LLMs) have demonstrated their efficacy across a broad spectrum of tasks in healthcare applications.
Event Detection from Social Media for Epidemic Prediction
In our work, we pioneer exploiting Event Detection (ED) for better preparedness and early warnings of any upcoming epidemic by developing a framework to extract and analyze epidemic-related events from social media posts.
GloFlow: Global Image Alignment for Creation of Whole Slide Images for Pathology from Video
The application of deep learning to pathology assumes the existence of digital whole slide images of pathology slides.
The NVIDIA PilotNet Experiments
Four years ago, an experimental system known as PilotNet became the first NVIDIA system to steer an autonomous car along a roadway.
