Papers by Xiaoqian Jiang
Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing (2020.lrec-1)
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| Challenge: | Clinical trials require that patients meet eligibility criteria to ensure safety and effectiveness of studies. |
| Approach: | They propose a dataset that includes the first-of-its-kind eligibility-criteria corpus and queries for criteria-to-sql . they propose 'neuro semantic parser' which can translate eligibility criteria to executable SQL queries . |
| Outcome: | The proposed parser outperforms existing state-of-the-art general-purpose models while highlighting the challenges presented by the new dataset. |
MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data (2026.findings-acl)
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| Challenge: | Existing models for tabular data generation require large amounts of data to train effectively. |
| Approach: | They propose a framework to generate tabular data powered by large language models that emulates a Generative Adversarial Network. |
| Outcome: | The proposed framework outperforms state-of-the-art models while keeping privacy of real data. |