20 papers
WPG-MoE: Weak-Prior-Guided Dense Mixture-of-Experts for User-Level Social Media Depression Detection
Xian Li, Yuanhe Tian, Yang Yang +2
Online social media posts provide scalable signals for early depression screening, and recent studies mainly improve pre-classification evidence through risk-post selection, sympto…
HIDBench: Benchmarking Large Language Models for Host-Based Intrusion Detection
Danyu Sun, Jinghuai Zhang, Yuan Tian +1
Recent benchmark efforts have advanced the evaluation of large language models (LLMs) in cybersecurity, including tasks such as penetration testing and vulnerability identification…
SURGE: An Event-Centric Social Media Sentiment Time Series Benchmark with Interaction Structure
Chen Su, Pengsen Cheng, Yuanhe Tian +1
Public events on social media generate large volumes of discussion whose collective dynamics carry direct value for opinion forecasting and crisis response. Capturing how these dyn…
Fine-grained Verbal Attack Detection via a Hierarchical Divide-and-Conquer Framework
Quan Zheng, Yuanhe Tian, Ming Wang +1
In the digital era, effective identification and analysis of verbal attacks are essential for maintaining online civility and ensuring social security. However, existing research i…
Explainable Multimodal Aspect-Based Sentiment Analysis with Dependency-guided Large Language Model
Zhongzheng Wang, Yuanhe Tian, Hongzhi Wang +1
Multimodal aspect-based sentiment analysis (MABSA) aims to identify aspect-level sentiments by jointly modeling textual and visual information, which is essential for fine-grained…
Chain-of-thought Reviewing and Correction for Time Series Question Answering
Chen Su, Yuanhe Tian, Yan Song
With the advancement of large language models (LLMs), diverse time series analysis tasks are reformulated as time series question answering (TSQA) through a unified natural languag…