Papers by Thy Tran

3 papers
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation (2023.findings-emnlp)

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Challenge: Existing variational dialog models have pre-trained, restricting diversity of responses . a diffusion model increases complexity of prior distribution and its compatibility with PLMs .
Approach: They propose a hierarchical conditional variational autoencoder with diffusion priors to address these challenges.
Outcome: The proposed method generates more diverse responses without dialog pre-training.
Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues (2024.findings-emnlp)

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Challenge: Imlicit user feedback, user emotions and demographic information are promising sources for improving the accuracy and user engagement of dialogue responses, but the impact of such information on task completion and factual consistency is not known.
Approach: They introduce the first English task-oriented and document-grounded dialogue dataset annotated with this information.
Outcome: The proposed dataset shows that the model's responses are more informative and factual consistent.
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards (2024.emnlp-main)

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Challenge: Existing leaderboards are incomplete and some contain incorrect information.
Approach: They propose a manually-curated Scientific Leaderboard dataset that overcomes these problems . they propose three experimental settings where TDM triples are fully defined, partially defined, or undefined .
Outcome: The proposed system overcomes the shortcomings of existing leaderboard datasets . it can be used to evaluate and compare scientific methods, but it requires manual labor .

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