Search Results for author:
Found 2 papers, 0 papers with code
Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for LLMs
We provide a practical framework for selecting the appropriate augmentation method across settings, taking into account additional factors such as the scalability of each method, the importance of verifying synthetic data, and the use of different LLMs for synthetic data generation.
Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding
Vision and vision-language applications of neural networks, such as image classification and captioning, rely on large-scale annotated datasets that require non-trivial data-collecting processes.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
