2 citations · 2 across the 3 of their papers we have counts for
4 papers
LEAF-SQL: Level-wise Exploration with Adaptive Fine-graining for Text-to-SQL Skeleton Prediction
Zhao Tan, Xiping Liu, Qing Shu +3
Text-to-SQL translates natural language questions into executable SQL queries, enabling intuitive database access for non-experts. While large language models achieve strong perfor…
Quantum-assisted anomaly detection with multivariate Gaussian distribution
Chao-Hua Yu, Hong-Miao Rao, Ying-Pei Wu +3
Anomaly detection with multivariate Gaussian distribution, which we refer to as Gassian anomaly detection (GAD), is a prominent task in data mining and machine learning. The core t…
DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying
Guanghui Wang, Dexi Liu, Jian-Yun Nie +5
Recent advancements in event argument extraction (EAE) involve incorporating useful auxiliary information into models during training and inference, such as retrieved instances and…
Token-Event-Role Structure-based Multi-Channel Document-Level Event Extraction
Qizhi Wan, Changxuan Wan, Keli Xiao +3
Document-level event extraction is a long-standing challenging information retrieval problem involving a sequence of sub-tasks: entity extraction, event type judgment, and event ty…