This paper introduces SoftEDA, a novel technique that applies soft labels to augmented data. Traditional Easy Data Augmentation (EDA) techniques can potentially damage the original meaning of the text, hurting…
Continue readingThis article discusses a novel model, T5VQVAE, which improves semantic control and generation in Transformer-based Variational AutoEncoders (VAEs). By leveraging the controllability of VQVAEs, T5VQVAE guides the self-attention mechanism in…
Continue readingThis article introduces CroissantLLM, a 1.3 billion language model trained on 3 trillion English and French tokens. It is a high-performance, fully open-source bilingual model that operates on consumer-grade local…
Continue readingThis research paper discusses the use of natural language processing (NLP) and AI models for mental health analysis in social media posts, specifically focusing on detecting low self-esteem in Reddit…
Continue readingThe paper explores how to enhance biomedical language models using adapter modules and knowledge graphs. The approach involves partitioning knowledge graphs into smaller subgraphs, fine-tuning adapter modules for each subgraph,…
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