Pre-trained Model

Q-Probe: A Lightweight Approach to Reward Maximization for Language Models

root February 24, 2024 0

The article introduces Q-probing, a method that adapts a pre-trained language model to maximize a task-specific reward function. This approach sits between heavier methods like finetuning and lighter ones like…

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Active Learning Based Fine-Tuning Framework for Speech Emotion Recognition

root October 4, 2023 0

The study focuses on improving Speech Emotion Recognition (SER) which is crucial in human-machine interaction. Existing SER methods overlook the information gap between the pre-training speech recognition task and the…

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Pre-trained Model

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