Chih-Ming Chen

MMLF: Multi-query Multi-passage Late Fusion Retrieval

2025

Leveraging large language models (LLMs) for query expansion has proven highly effective across diverse tasks and languages.Yet, challenges remain in optimizing query formatting and prompting, often with less focus on handling retrieval results.In this paper, …

HOP-rec

2018

Recommender systems are vital ingredients for many e-commerce services. In the literature, two of the most popular approaches are based on factorization and graph-based models; the former approach captures user preferences by factorizing the observed …