no code implementations • 20 Mar 2024 • Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian yuan, Dongmei Zhang
Large Language Models (LLMs) have revolutionized code generation ability by converting natural language descriptions into executable code.
no code implementations • 21 Dec 2023 • Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian yuan, Dongmei Zhang
We evaluate five state-of-the-art models using three different metrics and the results show that our benchmark presents introduces considerable challenge in the field of tabular data analysis, paving the way for more advanced research opportunities.
no code implementations • 14 Dec 2023 • Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
Table-based reasoning has shown remarkable progress in combining deep models with discrete reasoning, which requires reasoning over both free-form natural language (NL) questions and semi-structured tabular data.
no code implementations • 24 May 2023 • Jiayan Guo, Lun Du, Hengyu Liu, Mengyu Zhou, Xinyi He, Shi Han
In this study, we conduct an extensive investigation to assess the proficiency of LLMs in comprehending graph data, employing a diverse range of structural and semantic-related tasks.
no code implementations • 14 Nov 2022 • Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
Numerical Question Answering is the task of answering questions that require numerical capabilities.
no code implementations • 2 Sep 2022 • Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian yuan, Dongmei Zhang
Tabular data analysis is performed every day across various domains.
no code implementations • 1 Aug 2022 • Lingbo Li, Tianle Li, Xinyi He, Mengyu Zhou, Shi Han, Dongmei Zhang
ASTA framework extracts data features by designing signatures based on expert knowledge, and enables data referencing at field- (chart) or cell-level (conditional formatting) with pre-trained models.
no code implementations • 24 Jan 2022 • Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
Since a vast number of tables can be easily collected from web pages, spreadsheets, PDFs, and various other document types, a flurry of table pre-training frameworks have been proposed following the success of text and images, and they have achieved new state-of-the-arts on various tasks such as table question answering, table type recognition, column relation classification, table search, formula prediction, etc.
no code implementations • 1 Jan 2021 • ZiHao Zhou, Xingyi Yang, Xinyi He, Ryan Rossi, Handong Zhao, Rose Yu
To the best of our knowledge, this is the first neural point process model that can jointly predict both the space and time of events.
1 code implementation • 24 Aug 2020 • Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang, Dongmei Zhang
It is common for people to create different types of charts to explore a multi-dimensional dataset (table).