4 citations · 6 across the 4 of their papers we have counts for
4 papers
Cost-Aware Optimization for Agentic Query Execution
Lunyiu Nie, Yilin Xia, Yiren Liu +2
Classical query optimization searches over algebraically equivalent plans that differ only in cost. This assumption breaks once LLM-backed operators enter the picture: their placem…
T-KAER: Transparency-enhanced Knowledge-Augmented Entity Resolution Framework
Lan Li, Liri Fang, Yiren Liu +2
Entity resolution (ER) is the process of determining whether two representations refer to the same real-world entity and plays a crucial role in data curation and data cleaning. Re…
KAER: A Knowledge Augmented Pre-Trained Language Model for Entity Resolution
Liri Fang, Lan Li, Yiren Liu +2
Entity resolution has been an essential and well-studied task in data cleaning research for decades. Existing work has discussed the feasibility of utilizing pre-trained language m…
A Neural Network Based Explainable Recommender System
Jionghao Lin, Yiren Liu
Recommendation system could help the companies to persuade users to visit or consume at a particular place, which was based on many traditional methods such as the set of collabora…