4 papers
How Does LLM Help Regional CPI Forecast: An LLM-powered Deep Panel Modeling Framework
Tianchen Gao, Ao Sun, Yurou Wang +2
Understanding regional Consumer Price Index (CPI) dynamics is essential for timely and effective economic policymaking. However, traditional modeling procedures typically rely only…
MOSAIC: Minimax-Optimal Sparsity-Adaptive Inference for Change Points in Dynamic Networks
Yingying Fan, Jingyuan Liu, Jinchi Lv +1
We propose a new inference framework, named MOSAIC, for change-point detection in dynamic networks with the simultaneous low-rank and sparse-change structure. We establish the mini…
LLM-Powered CPI Prediction Inference with Online Text Time Series
Yingying Fan, Jinchi Lv, Ao Sun +1
Forecasting the Consumer Price Index (CPI) is an important yet challenging task in economics, where most existing approaches rely on low-frequency, survey-based data. With the rece…
BASIC: Bipartite Assisted Spectral-clustering for Identifying Communities in Large-scale Networks
Tianchen Gao, Jingyuan Liu, Rui Pan +1
Community detection, which focuses on recovering the group structure within networks, is a crucial and fundamental task in network analysis. However, the detection process can be q…