Papers by Youxuan Wu

2 papers
DSQG-Syn: Synthesizing High-quality Data for Text-to-SQL Parsing by Domain Specific Question Generation (2025.findings-naacl)

Copied to clipboard

Challenge: Existing methods for generating SQL queries using natural language questions produce inconsistent NLQ-SQL pairs.
Approach: They propose a text-to-SQL data synthesis framework that generates domain-relevant questions . they synthesize NLQ-SqL pairs that are domain-specific and intent-consistent .
Outcome: The proposed method outperforms closed-source LLMs on the Text-to-SQL task.
Unveiling Multimodal Processing: Exploring Activation Patterns in Multimodal LLMs for Interpretability and Efficiency (2025.findings-emnlp)

Copied to clipboard

Challenge: Recent advances in multimodal large language models have remained opaque.
Approach: They propose a method to convert dense MLLMs into fine-grained Mixture-of-Experts architectures.
Outcome: The proposed method outperforms random expert pruning and sparse activation and model pruning.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations