Syn-TurnTurk is a synthetic Turkish dialogue dataset generated with Qwen LLMs that supports turn-taking prediction models reaching 0.839 accuracy and 0.910 AUC.
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Multiple samples from probabilistic networks improve DNN accuracy over single deterministic samples, with an energy tradeoff formula for choosing between more samples and more bits.
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Syn-TurnTurk: A Synthetic Dataset for Turn-Taking Prediction in Turkish Dialogues
Syn-TurnTurk is a synthetic Turkish dialogue dataset generated with Qwen LLMs that supports turn-taking prediction models reaching 0.839 accuracy and 0.910 AUC.
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Improving deep neural network performance through sampling
Multiple samples from probabilistic networks improve DNN accuracy over single deterministic samples, with an energy tradeoff formula for choosing between more samples and more bits.