Papers by Shuqi Sun

2 papers
Q-TOD: A Query-driven Task-oriented Dialogue System (2022.emnlp-main)

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Challenge: Existing pipelined task-oriented dialogue systems have difficulties adapting to unseen domains . end-to-end systems are plagued by large-scale knowledge bases in practice .
Approach: They propose a query-driven task-oriented dialogue system that extracts dialogue context information into a natural language query.
Outcome: The proposed system outperforms strong baselines and establishes a new state-of-the-art performance on three publicly available task-oriented dialogue datasets.
An Exploratory Study on Model Compression for Text-to-SQL (2023.findings-acl)

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Challenge: Text-to-SQL translates user queries into SQL statements that can retrieve relevant answers from relational databases.
Approach: They propose to apply model compression techniques to sketch-based and sequence-to-sequence Text-toSQL models.
Outcome: The proposed models have higher inference efficiency and respond better to model compression than sequence-to-sequence models.

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