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Japan Advanced Institute of Science and Technology
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Function vectors can enhance emotion detection in multiple languages without the computational burden of traditional few-shot learning.
LLMs can now translate legal cases into logical formulas with significantly improved accuracy and stability, thanks to a novel retrieval-augmented in-context learning approach that carefully balances exemplar diversity and mitigates entity bias.
