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A standard paradigm for sentiment analysis is to rely on a singular LLM and makes the decision in a single round under the framework of in-context learning.
Language models are few-shot learners
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mt5: A massively multilingual pre-trained text-to-text transformer
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Recursive deep models for semantic compositionality over a sentiment treebank
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