7 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.IR2025
LLM as Explainable Re-Ranker for Recommendation System
Yaqi Wang, Haojia Sun, Shuting Zhang
The application of large language models (LLMs) in recommendation systems has recently gained traction. Traditional recommendation systems often lack explainability and suffer from…
cs.LG2024★ 2 cited
Retrieval-Augmented Generation for Domain-Specific Question Answering: A Case Study on Pittsburgh and CMU
Haojia Sun, Yaqi Wang, Shuting Zhang
We designed a Retrieval-Augmented Generation (RAG) system to provide large language models with relevant documents for answering domain-specific questions about Pittsburgh and Carn…
cs.CL2023★ 7 cited
M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models
Chuang Liu, Renren Jin, Yuqi Ren +10
Large language models have recently made tremendous progress in a variety of aspects, e.g., cross-task generalization, instruction following. Comprehensively evaluating the capabil…