136 citations · 138 across the 4 of their papers we have counts for
4 papers
DS@GT at TREC TOT 2025: Bridging Vague Recollection with Fusion Retrieval and Learned Reranking
Wenxin Zhou, Ritesh Mehta, Anthony Miyaguchi
We develop a two-stage retrieval system that combines multiple complementary retrieval methods with a learned reranker and LLM-based reranking, to address the TREC Tip-of-the-Tongu…
Using Pretrained Large Language Model with Prompt Engineering to Answer Biomedical Questions
Wenxin Zhou, Thuy Hang Ngo
Our team participated in the BioASQ 2024 Task12b and Synergy tasks to build a system that can answer biomedical questions by retrieving relevant articles and snippets from the PubM…
Biomedical Nested NER with Large Language Model and UMLS Heuristics
Wenxin Zhou
In this paper, we present our system for the BioNNE English track, which aims to extract 8 types of biomedical nested named entities from biomedical text. We use a large language m…
Deconstructing Student Perceptions of Generative AI (GenAI) through an Expectancy Value Theory (EVT)-based Instrument
Cecilia Ka Yuk Chan, Wenxin Zhou
This study examines the relationship between student perceptions and their intention to use generative AI in higher education. Drawing on Expectancy-Value Theory (EVT), a questionn…