Papers by Thi Nguyen

3 papers
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs (2024.findings-acl)

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Challenge: Prior research on evaluating large language models focused on answer accuracy, neglecting the correctness of the generated CoT.
Approach: They propose a discriminative and generative CoT evaluation paradigm to assess LLMs’ knowledge of reasoning and the accuracy of the generated CoT.
Outcome: The proposed evaluation paradigm assesses LLMs’ knowledge of reasoning and the accuracy of the generated CoT.
Vietnamese Automatic Speech Recognition: A Revisit (2026.findings-eacl)

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Challenge: Existing datasets with low quality and inconsistent annotations are insufficient for high-quality models.
Approach: They propose a pipeline for aggregating and preprocessing high-quality ASR datasets from diverse, potentially noisy, open-source sources.
Outcome: The proposed pipeline provides a foundation for training and evaluating state-of-the-art Vietnamese ASR systems.
Zero-Shot Text-to-Speech for Vietnamese (2025.acl-short)

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Challenge: Text-to-speech (TTS) synthesis has seen significant advancements in recent years.
Approach: They propose to use PhoAudiobook to curated 941 hours of high-quality audio for Vietnamese text-to-speech models.
Outcome: The proposed model improves on VALL-E, VoiceCraft, and XTTS-V2 models, highlighting their robustness in handling diverse linguistic contexts.

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