no code implementations • 5 Jul 2023 • Zihuai Zhao, Wenqi Fan, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Zhen Wen, Fei Wang, Xiangyu Zhao, Jiliang Tang, Qing Li
As a result, recent studies have attempted to harness the power of LLMs to enhance recommender systems.
1 code implementation • 11 Jun 2023 • Jiatong Li, Yunqing Liu, Wenqi Fan, Xiao-Yong Wei, Hui Liu, Jiliang Tang, Qing Li
In this work, we propose a novel LLM-based framework (MolReGPT) for molecule-caption translation, where an In-Context Few-Shot Molecule Learning paradigm is introduced to empower molecule discovery with LLMs like ChatGPT to perform their in-context learning capability without domain-specific pre-training and fine-tuning.
Ranked #3 on Text-based de novo Molecule Generation on ChEBI-20
1 code implementation • 20 Feb 2023 • Hanxu Hu, Yunqing Liu, Zhongyi Yu, Laura Perez-Beltrachini
In this work we study user controlled table-to-text generation where users explore the content in a table by selecting cells and reading a natural language description thereof automatically produce by a natural language generator.
1 code implementation • 6 Feb 2023 • Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li
Given the great success of diffusion models in image generation, increasing efforts have been made to leverage these techniques to advance graph generation in recent years.
no code implementations • 26 Oct 2020 • Zikang Wei, Yunqing Liu
This study employs a deep segmented residual neural network model to analyze the super-resolution of a single satellite image.