14 citations · 50 across the 17 of their papers we have counts for
5 papers
Multi-modal Representation Learning for Social Post Location Inference
Ruiting Dai, Jiayi Luo, Xucheng Luo +3
Inferring geographic locations via social posts is essential for many practical location-based applications such as product marketing, point-of-interest recommendation, and infecto…
From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning
Qian Liu, Fan Zhou, Zhengbao Jiang +2
Fine-tuning language models on tasks with instructions has demonstrated potential in facilitating zero-shot generalization to unseen tasks. In this paper, we introduce a straightfo…
Urban Regional Function Guided Traffic Flow Prediction
Kuo Wang, Lingbo Liu, Yang Liu +3
The prediction of traffic flow is a challenging yet crucial problem in spatial-temporal analysis, which has recently gained increasing interest. In addition to spatial-temporal cor…
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He +6
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 prop…
High-Order Statistical Functional Expansion and Its Application To Some Nonsmooth Problems
Fan Zhou, Ping Li, Cun-Hui Zhang
Let $\bx_j = \btheta +\bep_j, j=1,...,n$, be observations of an unknown parameter $\btheta$ in a Euclidean or separable Hilbert space $\scrH$, where $\bep_j$ are noises as random e…