5 citations · 12 across the 15 of their papers we have counts for
5 papers · 1 filter
TikStance: A Multimodal and Hierarchical Dataset for Multi-target Stance Analysis in TikTok Political Conversations
Yazhi Zhang, Fuqiang Niu, Bowen Zhang
Political discourse has increasingly moved to short-video platforms, yet computational analysis of such content remains constrained by the scarcity of datasets that jointly preserv…
SICI: A Semantic-Pragmatic Complexity Index Reveals Regime Shifts in LLM Stance Detection
Fuqiang Niu, Bowen Zhang
Prompt-based LLMs are increasingly used for stance detection, but harder examples are not always repaired by clearer instructions, reasoning prompts, retrieval, or debate. We intro…
ARMOR-MAD: Adaptive Routing for Heterogeneous Multi-Agent Debate in Large Language Model Reasoning
Fuqiang Niu, Bowen Zhang
Multi-agent debate (MAD) can improve large language model reasoning, but fixed debate pipelines often waste computation and can amplify correlated errors among similar agents. We p…
A Context-Aware Dataset for Stance Detection in Bioethical Controversies on Reddit
Hu Huang, Genan Dai, Fuqiang Niu +3
Bioethical debates increasingly unfold on social media, yet stance detection research lacks large-scale, domain-specific resources for modeling such context-dependent discourse. We…
Rethinking Fusion: Disentangled Learning of Shared and Modality-Specific Information for Stance Detection
Zhiyu Xie, Fuqiang Niu, Genan Dai +4
Multi-modal stance detection (MSD) aims to determine an author's stance toward a given target using both textual and visual content. While recent methods leverage multi-modal fusio…