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Found 2 papers, 2 papers with code
Style Vectors for Steering Generative Large Language Model
This research explores strategies for steering the output of large language models (LLMs) towards specific styles, such as sentiment, emotion, or writing style, by adding style vectors to the activations of hidden layers during text generation.
Key Information Extraction From Documents: Evaluation And Generator
Therefore, natural language processing models have already been combined with computer vision models in the past, to benefit from e. g. positional information and to improve performance of these key information extraction models.
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