2 papers
cs.LG2026
PRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation
Abhishek Divekar, Anirban Majumder
Evaluating the quality of search, ranking and RAG systems traditionally requires a significant number of human relevance annotations. In recent times, several deployed systems have…
cs.IR2024
MARec: Metadata Alignment for cold-start Recommendation
Julien Monteil, Volodymyr Vaskovych, Wentao Lu +2
For many recommender systems, the primary data source is a historical record of user clicks. The associated click matrix is often very sparse, as the number of users x products can…