1 code implementation • 16 Apr 2024 • Yuchi Wang, Shuhuai Ren, Rundong Gao, Linli Yao, Qingyan Guo, Kaikai An, Jianhong Bai, Xu sun
Diffusion models have exhibited remarkable capabilities in text-to-image generation.
no code implementations • 1 Mar 2024 • Qingyan Guo, Rui Wang, Junliang Guo, Xu Tan, Jiang Bian, Yujiu Yang
Accordingly, permutation on the training data is considered as a potential solution, since this can make the model predict antecedent words or tokens.
no code implementations • 3 Nov 2023 • Yifan Wang, Qingyan Guo, Xinzhe Ni, Chufan Shi, Lemao Liu, Haiyun Jiang, Yujiu Yang
In-context learning (ICL) ability has emerged with the increasing scale of large language models (LLMs), enabling them to learn input-label mappings from demonstrations and perform well on downstream tasks.
1 code implementation • 15 Sep 2023 • Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang
Large Language Models (LLMs) excel in various tasks, but they rely on carefully crafted prompts that often demand substantial human effort.
1 code implementation • 22 May 2023 • Zhibin Gou, Qingyan Guo, Yujiu Yang
Generative methods greatly promote aspect-based sentiment analysis via generating a sequence of sentiment elements in a specified format.
Ranked #1 on Aspect-Based Sentiment Analysis (ABSA) on ACOS
Aspect-Based Sentiment Analysis Aspect Category Detection +10