1 code implementation • 20 Feb 2024 • Nailei Hei, Qianyu Guo, ZiHao Wang, Yan Wang, Haofen Wang, Wenqiang Zhang
To bridge the distribution gap between user input behavior and model training datasets, we first construct a novel Coarse-Fine Granularity Prompts dataset (CFP) and propose a novel User-Friendly Fine-Grained Text Generation framework (UF-FGTG) for automated prompt optimization.
1 code implementation • 16 Jan 2024 • Wei Tao, Yucheng Zhou, Yanlin Wang, Hongyu Zhang, Haofen Wang, Wenqiang Zhang
However, previous methods are trained on the entire dataset without considering the fact that a portion of commit messages adhere to good practice (i. e., good-practice commits), while the rest do not.
2 code implementations • 18 Dec 2023 • Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, Meng Wang, Haofen Wang
Large Language Models (LLMs) showcase impressive capabilities but encounter challenges like hallucination, outdated knowledge, and non-transparent, untraceable reasoning processes.
no code implementations • 14 Oct 2023 • Qianyu Guo, Huifang Du, Xing Jia, Shuyong Gao, Yan Teng, Haofen Wang, Wenqiang Zhang
Finally, the generated features and prototypes are together to train a more generalized classifier.
no code implementations • 25 Mar 2023 • Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, Jiawei Zhang
Large language models (LLMs) have demonstrated their significant potential to be applied for addressing various application tasks.
1 code implementation • 8 Jun 2022 • Xi Chen, Yun Xiong, Siqi Wang, Haofen Wang, Tao Sheng, Yao Zhang, Yu Ye
In order to address the issues and advance a benchmark dataset for various intelligent spatial design and analysis applications in the development of smart city, we introduce Residential Community Layout Planning (ReCo) Dataset, which is the first and largest open-source vector dataset related to real-world community to date.
no code implementations • 18 Mar 2022 • Jun Liu, Tong Ruan, Haofen Wang, Huanhuan Zhang
The dialogue state tracking (DST) module in the medical dialogue system which interprets utterances into the machine-readable structure for downstream tasks is particularly challenging.
1 code implementation • 13 Sep 2020 • Xinyue Zhang, Meng Wang, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Guilin Qi, Haofen Wang
Based on Semantic Web technologies, knowledge graphs help users to discover information of interest by using live SPARQL services.
no code implementations • 16 Jan 2018 • YaoSheng Yang, Meishan Zhang, Wenliang Chen, Wei zhang, Haofen Wang, Min Zhang
To quickly obtain new labeled data, we can choose crowdsourcing as an alternative way at lower cost in a short time.
Chinese Named Entity Recognition named-entity-recognition +2
no code implementations • 16 Oct 2017 • Fang Gong, Meng Wang, Haofen Wang, Sen Wang, Mengyue Liu
To our best knowledge, SMR is the first to learn embeddings of a patient-disease-medicine graph for medicine recommendation in the world.
no code implementations • 16 Oct 2015 • Chenhao Zhu, Kan Ren, Xuan Liu, Haofen Wang, Yiding Tian, Yong Yu
We present a question answering system over DBpedia, filling the gap between user information needs expressed in natural language and a structured query interface expressed in SPARQL over the underlying knowledge base (KB).