MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL.
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Proceedings of the 31st International Conference on Computational Linguistics, 2025
McEval: Massively Multilingual Code Evaluation.
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CoRR, 2024
EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling.
CoRR, 2024
SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence.
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CoRR, 2024
REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Models.
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CoRR, 2024
TiNID: A Transfer and Interpretable LLM-Enhanced Framework for New Intent Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representations.
Proceedings of the Database Systems for Advanced Applications, 2024
EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL.
CoRR, 2023
Delving into Commit-Issue Correlation to Enhance Commit Message Generation Models.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023