1 citations · 3 across the 13 of their papers we have counts for
13 papers
Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse
Zhenyan Zheng, Yunyao Zhang, Junxi Sheng +2
Emotion understanding in discourse requires reasoning beyond surface sentiment because speakers often convey affect through indirect, implicit, polite, ironic, or deliberately mism…
Semiotic logical hexagon theory for LLM logical reasoning
Yunyao Zhang, Xinglang Zhang, Zeliang Chen +2
Large language models (LLMs) have become powerful tools for language understanding and logical reasoning. However, they still make mistakes when a problem requires both understandi…
OmniTrend: Content-Context Modeling for Scalable Social Popularity Prediction
Liliang Ye, Guiyi Zeng, Yunyao Zhang +3
Predicting social media popularity requires understanding both the intrinsic appeal of content and the external context that determines how it is exposed to users. Existing methods…
HotComment: A Benchmark for Evaluating Popularity of Online Comments
Yafeng Wu, Yunyao Zhang, Liliang Ye +4
Online comments play a crucial role in shaping public sentiment and opinion dynamics on social media. However, evaluating their popularity remains challenging, not only because it…
Seeing Further and Wider: Joint Spatio-Temporal Enlargement for Micro-Video Popularity Prediction
Dali Wang, Yunyao Zhang, Junqing Yu +3
Micro-video popularity prediction (MVPP) aims to forecast the future popularity of videos on online media, which is essential for applications such as content recommendation and tr…
IntervenSim: Intervention-Aware Social Network Simulation for Opinion Dynamics
Yunyao Zhang, Zuocheng Ying, Xinglang Zhang +5
LLM-based social network simulation introduces a new computational approach for modeling event evolution in complex online environments. However, existing methods typically simulat…
Coupling Macro Dynamics and Micro States for Long-Horizon Social Simulation
Yunyao Zhang, Yihao Ai, Zuocheng Ying +4
Social network simulation aims to model collective opinion dynamics in large populations, but existing LLM-based simulators mainly focus on aggregate dynamics while largely ignorin…
Logical Phase Transitions: Understanding Collapse in LLM Logical Reasoning
Xinglang Zhang, Yunyao Zhang, ZeLiang Chen +3
Symbolic logical reasoning is a critical yet underexplored capability of large language models (LLMs), providing reliable and verifiable decision-making in high-stakes domains such…
Semantic-Aware Logical Reasoning via a Semiotic Framework
Yunyao Zhang, Xinglang Zhang, Junxi Sheng +5
Logical reasoning is a fundamental capability of large language models. However, existing studies often overlook the interaction between logical complexity and semantic complexity,…
MVP: Winning Solution to SMP Challenge 2025 Video Track
Liliang Ye, Yunyao Zhang, Yafeng Wu +4
Social media platforms serve as central hubs for content dissemination, opinion expression, and public engagement across diverse modalities. Accurately predicting the popularity of…
HyperFusion: Hierarchical Multimodal Ensemble Learning for Social Media Popularity Prediction
Liliang Ye, Yunyao Zhang, Yafeng Wu +4
Social media popularity prediction plays a crucial role in content optimization, marketing strategies, and user engagement enhancement across digital platforms. However, predicting…
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing
Wenbing Li, Zikai Song, Hang Zhou +3
Recent attempts to combine low-rank adaptation (LoRA) with mixture-of-experts (MoE) for multi-task adaptation of Large Language Models (LLMs) often replace whole attention/FFN laye…
GA-S: Comprehensive Social Network Simulation with Group Agents
Yunyao Zhang, Zikai Song, Hang Zhou +4
Social network simulation is developed to provide a comprehensive understanding of social networks in the real world, which can be leveraged for a wide range of applications such a…