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The immense scale of the recent large language models (LLM) allows many interesting properties, such as, instruction- and chain-of-thought-based fine-tuning, that has significantly improved zero- and few-shot performance in many natural language processing (NLP) tasks.
Musical genre classification of audio signals
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Conditional diffusion probabilistic model for speech enhancement
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Why can gpt learn in-context? language models secretly perform gradient descent as meta-optimizers
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Tango music
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