14 citations · 18 across the 5 of their papers we have counts for
5 papers
Modernizing Facebook Scoped Search: Keyword and Embedding Hybrid Retrieval with LLM Evaluation
Yongye Su, Zeya Zhang, Jane Kou +5
Beyond general web-scale search, social network search uniquely enables users to retrieve information and discover potential connections within their social context. We introduce a…
Robust Detection of LLM-Generated Text: A Comparative Analysis
Yongye Su, Yuqing Wu
The ability of large language models to generate complex texts allows them to be widely integrated into many aspects of life, and their output can quickly fill all network resource…
Large Language Models on Fine-grained Emotion Detection Dataset with Data Augmentation and Transfer Learning
Kaipeng Wang, Zhi Jing, Yongye Su +1
This paper delves into enhancing the classification performance on the GoEmotions dataset, a large, manually annotated dataset for emotion detection in text. The primary goal of th…
When Large Language Models Meet Vector Databases: A Survey
Zhi Jing, Yongye Su, Yikun Han +5
This survey explores the synergistic potential of Large Language Models (LLMs) and Vector Databases (VecDBs), a burgeoning but rapidly evolving research area. With the proliferatio…
A Community Detection and Graph Neural Network Based Link Prediction Approach for Scientific Literature
Chunjiang Liu, Yikun Han, Haiyun Xu +3
This study presents a novel approach that synergizes community detection algorithms with various Graph Neural Network (GNN) models to bolster link prediction in scientific literatu…