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Showing 1 to 3 of 3 for “"Generative large language models"”.

  1. Seeing the Forest Through the Trees: Knowledge Retrieval for Streamlining Particle Physics Analysis

    Generative Large Language Models (LLMs) are a promising approach to structuring knowledge contained within otherwise unmanageable corpora of research literature produced by large-scale and long-running scientific collaborations. Within experimental particle physics, such structured knowledge bases …

    mit Repository record for Seeing the Forest Through the Trees: Knowledge Retrieval for Streamlining Particle Physics Analysis (opens in a new tab)

  2. Adversarial Attacks on Natural Language and Speech Processing Models

    Deep learning models are parametric functions designed to capture patterns in data. The increasing availability of computational resources in recent years has facilitated the training and deployment of deep learning models across a wide range of applications in computer vision, natural language …

    cambridge Repository record for Adversarial Attacks on Natural Language and Speech Processing Models (opens in a new tab)