9 citations · 17 across the 7 of their papers we have counts for
7 papers
Debating Truth: Debate-driven Claim Verification with Multiple Large Language Model Agents
Haorui He, Yupeng Li, Dacheng Wen +4
State-of-the-art single-agent claim verification methods struggle with complex claims that require nuanced analysis of multifaceted evidence. Inspired by real-world professional fa…
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing
Yule Liu, Zhiyuan Zhong, Yifan Liao +8
The rising popularity of large language models (LLMs) has raised concerns about machine-generated text (MGT), particularly in academic settings, where issues like plagiarism and mi…
Uncovering Patterns of Participant-Invariant Influence in Networks
Min Shaojie
In this paper, we explore the nature of influence in a network. The concept of participant-invariant influence is derived from an influence matrix M specifically designed to explor…
xASTNN: Improved Code Representations for Industrial Practice
Zhiwei Xu, Min Zhou, Xibin Zhao +3
The application of deep learning techniques in software engineering becomes increasingly popular. One key problem is developing high-quality and easy-to-use source code representat…
Trimming Mobile Applications for Bandwidth-Challenged Networks in Developing Regions
Qinge Xie, Qingyuan Gong, Xinlei He +4
Despite continuous efforts to build and update network infrastructure, mobile devices in developing regions continue to be constrained by limited bandwidth. Unfortunately, this coi…
"How do urban incidents affect traffic speed?" A Deep Graph Convolutional Network for Incident-driven Traffic Speed Prediction
Qinge Xie, Tiancheng Guo, Yang Chen +3
Accurate traffic speed prediction is an important and challenging topic for transportation planning. Previous studies on traffic speed prediction predominately used spatio-temporal…