GPTZoo: A Large-scale Dataset of GPTs for the Research Community
The rapid advancements in Large Language Models (LLMs) have revolutionized natural language processing, with GPTs, customized versions of ChatGPT available on the GPT Store, emerging as a prominent technology for specific domains and tasks. To support academic research on GPTs, we introduce GPTZoo, a large-scale dataset comprising 730,420 GPT instances. Each instance includes rich metadata with 21 attributes describing its characteristics, as well as instructions, knowledge files, and third-party services utilized during its development. GPTZoo aims to provide researchers with a comprehensive and readily available resource to study the real-world applications, performance, and potential of GPTs. To facilitate efficient retrieval and analysis of GPTs, we also developed an automated command-line interface (CLI) that supports keyword-based searching of the dataset. To promote open research and innovation, the GPTZoo dataset will undergo continuous updates, and we are granting researchers public access to GPTZoo and its associated tools.
Wed 30 OctDisplayed time zone: Pacific Time (US & Canada) change
13:30 - 15:00 | LLM for SE 2NIER Track / Research Papers / Industry Showcase / Tool Demonstrations at Camellia Chair(s): Wenxi Wang University of Virgina | ||
13:30 15mTalk | A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How Research Papers Chaozheng Wang The Chinese University of Hong Kong, Shuzheng Gao Chinese University of Hong Kong, Cuiyun Gao Harbin Institute of Technology, Wenxuan Wang Chinese University of Hong Kong, Chun Yong Chong Huawei, Shan Gao Huawei, Michael Lyu The Chinese University of Hong Kong | ||
13:45 15mTalk | AutoDW: Automatic Data Wrangling Leveraging Large Language Models Industry Showcase Lei Liu Fujitsu Laboratories of America, Inc., So Hasegawa Fujitsu Research of America Inc., Shailaja Keyur Sampat Fujitsu Research of America Inc., Maria Xenochristou Fujitsu Research of America Inc., Wei-Peng Chen Fujitsu Research of America, Inc., Takashi Kato Fujitsu Research, Taisei Kakibuchi Fujitsu Research, Tatsuya Asai Fujitsu Research | ||
14:00 15mTalk | Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks Research Papers jiawei lu Zhejiang University, Haoye Wang Hangzhou City University, Zhongxin Liu Zhejiang University, Keyu Liang Zhejiang University, Lingfeng Bao Zhejiang University, Xiaohu Yang Zhejiang University | ||
14:15 15mTalk | WaDec: Decompile WebAssembly Using Large Language Model Research Papers Xinyu She Huazhong University of Science and Technology, Yanjie Zhao Huazhong University of Science and Technology, Haoyu Wang Huazhong University of Science and Technology | ||
14:30 10mTalk | LLM4Workflow: An LLM-based Automated Workflow Model Generation Tool Tool Demonstrations | ||
14:40 10mTalk | GPTZoo: A Large-scale Dataset of GPTs for the Research Community NIER Track Xinyi Hou Huazhong University of Science and Technology, Yanjie Zhao Huazhong University of Science and Technology, Shenao Wang Huazhong University of Science and Technology, Haoyu Wang Huazhong University of Science and Technology | ||
14:50 10mTalk | Emergence of A Novel Domain Expert: A Generative AI-based Framework for Software Function Point Analysis NIER Track | ||