4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 4 cited
User Simulation with Large Language Models for Evaluating Task-Oriented Dialogue
Sam Davidson, Salvatore Romeo, Raphael Shu +4
One of the major impediments to the development of new task-oriented dialogue (TOD) systems is the need for human evaluation at multiple stages and iterations of the development pr…
cs.IR2014★ 1 cited
Learning from Labeled Features for Document Filtering
Lanbo Zhang, Yi Zhang, Qianli Xing
Existing document filtering systems learn user profiles based on user relevance feedback on documents. In some cases, users may have prior knowledge about what features are importa…
cs.IR2014
Hierarchical Bayesian Models with Factorization for Content-Based Recommendation
Lanbo Zhang, Yi Zhang
Most existing content-based filtering approaches learn user profiles independently without capturing the similarity among users. Bayesian hierarchical models \cite{Zhang:Efficient}…