22 citations · 45 across the 8 of their papers we have counts for
8 papers
Large Language Models as Virtual Survey Respondents: Evaluating Sociodemographic Response Generation
Jianpeng Zhao, Chenyu Yuan, Weiming Luo +6
Questionnaire-based surveys are foundational to social science research and public policymaking, yet traditional survey methods remain costly, time-consuming, and often limited in…
Optimized Cost Per Click in Online Advertising: A Theoretical Analysis
Kaichen Zhang, Zixuan Yuan, Hui Xiong
In recent years, Optimized Cost Per Click (OCPC) and Optimized Cost Per Mille (OCPM) have emerged as the most widely adopted pricing models in the online advertising industry. Howe…
The Impact of Generative Artificial Intelligence on Market Equilibrium: Evidence from a Natural Experiment
Kaichen Zhang, Zixuan Yuan, Hui Xiong
Generative artificial intelligence (AI) exhibits the capability to generate creative content akin to human output with greater efficiency and reduced costs. This groundbreaking cap…
Learning to Walk with Dual Agents for Knowledge Graph Reasoning
Denghui Zhang, Zixuan Yuan, Hao Liu +2
Graph walking based on reinforcement learning (RL) has shown great success in navigating an agent to automatically complete various reasoning tasks over an incomplete knowledge gra…
Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis
Zixuan Yuan, Yada Zhu, Wei Zhang +3
Earnings call (EC), as a periodic teleconference of a publicly-traded company, has been extensively studied as an essential market indicator because of its high analytical value in…
Cyberphysical Sequencing for Distributed Asset Management with Broad Traceability
Joshua Siegel, Gregory Falco
Cyber-Physical systems (CPS) have complex lifecycles involving multiple stakeholders, and the transparency of both hardware and software components' supply chain is opaque at best.…
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
Zekai Chen, Dingshuo Chen, Xiao Zhang +2
Many real-world IoT systems, which include a variety of internet-connected sensory devices, produce substantial amounts of multivariate time series data. Meanwhile, vital IoT infra…
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce
Denghui Zhang, Zixuan Yuan, Yanchi Liu +3
Pre-trained language models such as BERT have achieved great success in a broad range of natural language processing tasks. However, BERT cannot well support E-commerce related tas…