no code implementations • 10 Mar 2024 • Kaipeng Wang, Zhi Jing, Yongye Su, Yikun Han
This paper delves into enhancing the classification performance on the GoEmotions dataset, a large, manually annotated dataset for emotion detection in text.
no code implementations • 7 Feb 2024 • Yijun Tian, Yikun Han, Xiusi Chen, Wei Wang, Nitesh V. Chawla
To solve the problems and facilitate the learning of compact language models, we propose TinyLLM, a new knowledge distillation paradigm to learn a small student LLM from multiple large teacher LLMs.
no code implementations • 30 Jan 2024 • Zhi Jing, Yongye Su, Yikun Han, Bo Yuan, Haiyun Xu, Chunjiang Liu, Kehai Chen, Min Zhang
This survey explores the synergistic potential of Large Language Models (LLMs) and Vector Databases (VecDBs), a burgeoning but rapidly evolving research area.
no code implementations • 4 Jan 2024 • Chunjiang Liu, Yikun Han, Haiyun Xu, Shihan Yang, Kaidi Wang, Yongye Su
This study presents a novel approach that synergizes community detection algorithms with various Graph Neural Network (GNN) models to bolster link prediction in scientific literature networks.
no code implementations • 18 Oct 2023 • Yikun Han, Chunjiang Liu, Pengfei Wang
A vector database is used to store high-dimensional data that cannot be characterized by traditional DBMS.