Synthetic Data
Neural sentence embedding models for dense retrieval typically rely on binary relevance labels, treating query-document pairs as …
Recent progress in developing general-purpose text embedders has been driven by training on synthetic LLM-generated data. Nonetheless, …
Large Language Models (LLMs) are trained on vast amounts of data, most of which is automatically scraped from the internet. This data …
Data is the driving force of machine learning, with the amount and quality of training data often being more important for the …
Millions of blind and visually-impaired (BVI) people navigate urban environments every day, using smartphones for high-level …
Rainfall is a problem in automated traffic surveillance. Rain streaks occlude the road users and degrade the overall visibility which …