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.CV2025
Lightweight Backbone Networks Only Require Adaptive Lightweight Self-Attention Mechanisms
Fengyun Li, Chao Zheng, Yangyang Fang +4
Currently, lightweight hybrid backbone networks have partially alleviated the issue of computational saturation, but the imbalance in computational efficiencys between convolutiona…
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…