26 citations · 49 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
Yijun Tian, Yikun Han, Xiusi Chen +2
Transferring the reasoning capability from stronger large language models (LLMs) to smaller ones has been quite appealing, as smaller LLMs are more flexible to deploy with less exp…
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…