6 papers
LLM-Based Knowledge Graph Completion Combining Discrete Structural Coding with Similar Entity Information
Jiaqi Wang, Dongying Lin, Yang Yang +3
Knowledge graph completion requires models to use both textual descriptions and relational structure. Existing LLM-based methods either encode KG structure as discrete tokens or re…
Adapting Knowledge Graphs for Behavior Denoising in Sequential Recommendation
Zichun Jin, Zihan Zhou, Yinan Liu +2
Sequential recommendation predicts the next item from a user's interaction history, but not every interaction is equally informative. Real logs combine persistent preferences with…
Enhancing LLMs in Predictive Political QA with Semi-Structured Data
Yinan Liu, Zihan Zhou, Zichun Jin +3
Predictive political question answering (QA), such as predicting how a political actor will vote, goes beyond factual lookup. External political resources offer rich historical evi…
Continuous Query for Top- Maximal Sum Intervals over Streaming Data
Zhongshuai Zhang, Xiaochun Yang, Baihua Zheng +3
The continuous identification of top- maximal sum intervals using a sliding window over a data stream is a critical operation for applications in IoT and beyond. A maximal sum i…
From Single to Multiple Attributes: Experimental Insights on Sampling-Based Distinct Combination Estimation in GROUP-BY Queries
Yujie Zhang, Xiaochun Yang, Bin Wang +1
Estimating the number of distinct combinations in multi-attribute GROUP-BY queries remains a significant yet underexplored challenge. Current cardinality estimation techniques prim…
Joint Knowledge Base Completion and Question Answering by Combining Large Language Models and Small Language Models
Yinan Liu, Dongying Lin, Sigang Luo +2
Knowledge Bases (KBs) play a key role in various applications. As two representative KB-related tasks, knowledge base completion (KBC) and knowledge base question answering (KBQA)…