Papers by Kong Joo Lee

2 papers
More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation (2024.emnlp-main)

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Challenge: Incorrect student answers can be valuable learning opportunities provided that the student understands where they went wrong and why.
Approach: They propose to use a KL regularization term to achieve more targeted input representations and a preference optimization step to encourage student answer-adaptive feedback generation.
Outcome: The proposed model outperforms existing models in 3.3 METEOR points.
Improving Backchannel Prediction Leveraging Sequential and Attentive Context Awareness (2024.findings-eacl)

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Challenge: Backchannels are short and often affirmative or empathetic responses from a listener during a conversation . et al. (2010) showed that timely backchanneling can enhance storytelling ability .
Approach: They propose a context-aware backchannel prediction approach that leverages a pretrained wav2vec model to enhance backchannel performance.
Outcome: The proposed approach improves performance in Korean and English datasets . it leverages the pretrained wav2vec model for encoding audio signal .

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