3 papers
cs.DB2026
Replacing Multi-Step Assembly of Data Preparation Pipelines with One-Step LLM Pipeline Generation for Table QA
Fengyu Li, Junhao Zhu, Kaishi Song +4
Table Question Answering (TQA) aims to answer natural language questions over structured tables. Large Language Models (LLMs) enable promising solutions to this problem, with opera…
cs.DB2025
Beyond Relational: Semantic-Aware Multi-Modal Analytics with LLM-Native Query Optimization
Junhao Zhu, Lu Chen, Xiangyu Ke +4
Multi-modal analytical processing has the potential to transform applications in e-commerce, healthcare, entertainment, and beyond. However, real-world adoption remains elusive due…
cs.CL2025
AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generation
Fengyu Li, Yilin Li, Junhao Zhu +6
Huawei has always been committed to exploring the AI application in historical research. Biography generation, as a specialized form of abstractive summarization, plays a crucial r…