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Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences
With availability of such quality ratings for multiple responses, we propose utilizing these responses to create multiple preference pairs for a given prompt.
DeepSRGM -- Sequence Classification and Ranking in Indian Classical Music with Deep Learning
Our method achieves an accuracy of 88. 1% and 97 % during inference on the Comp Music Carnatic dataset and its 10 Raga subset respectively making it the state-of-the-art for the Raga recognition task.
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