Papers by Thuy Nguyen

2 papers
Quantifying Train-Evaluation Overlap with Nearest Neighbors (2023.findings-acl)

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Challenge: Using a novel metric, we quantify train-evaluation overlap in benchmark datasets to evaluate model generalization.
Approach: They quantify train-evaluation overlap as a measure of an individual dataset’s adequacy to evaluate model generalization over a wide range of datasets.
Outcome: The proposed metric quantifies train-evaluation overlap, providing insights for constructing datasets to study generalization.
CypherSmith: Transforming Text-to-Cypher Generation for LLMs with Synthetic Data (2026.acl-long)

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Challenge: Existing datasets are small, domain-limited, and lack diversity, constraining LLM progress.
Approach: They propose a knowledge Graph retrieval tool that can translate natural language questions into structured queries.
Outcome: Extensive experiments show that CypherSmith achieves state-of-the-art performance.

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