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Found 4 papers, 2 papers with code
LlamBERT: Large-scale low-cost data annotation in NLP
Large Language Models (LLMs), such as GPT-4 and Llama 2, show remarkable proficiency in a wide range of natural language processing (NLP) tasks.
Ranked #1 on
Sentiment Analysis
on IMDb
(using extra training data)
Deep learning the Hurst parameter of linear fractional processes and assessing its reliability
The study concludes that while deep learning methods show promise in parameter estimation of fractional processes, their effectiveness is contingent on the process type and the quality of training data.
Dilated Convolutional Neural Networks for Lightweight Diacritics Restoration
Our solution surpasses the performance of similarly sized models and is also competitive with larger models.
Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation
Chest X-ray is the most common test among medical imaging modalities.
