2 papers
cs.DB2024
Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation
Yihang Zheng, Bo Li, Zhenghao Lin +6
The development of Large Language Models (LLMs) has revolutionized QA across various industries, including the database domain. However, there is still a lack of a comprehensive be…
cs.IR2023
GENET: Unleashing the Power of Side Information for Recommendation via Hypergraph Pre-training
Yang Li, Qi'ao Zhao, Chen Lin +3
Recommendation with side information has drawn significant research interest due to its potential to mitigate user feedback sparsity. However, existing models struggle with general…