5 citations · 7 across the 14 of their papers we have counts for
5 papers · 1 filter
Improving Synthetic Data Generation for Argument Mining via Adversarial Reinforcement Learning
Zhijun Zhang, Qianlong Wang, Keyang Ding +5
Argument Mining (AM) is fundamentally constrained by the scarcity of high-quality structure-annotated datasets. While LLMs have shown promise in synthetic data generation, producin…
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…
A Systematic Comparison of Prompting and Multi-Agent Methods for LLM-based Stance Detection
Genan Dai, Zini Chen, Yi Yang +1
Stance detection identifies the attitude of a text author toward a given target. Recent studies have explored various LLM-based strategies for this task, from zero-shot prompting t…
ToPT: Task-Oriented Prompt Tuning for Urban Region Representation Learning
Zitao Guo, Changyang Jiang, Tianhong Zhao +3
Learning effective region embeddings from heterogeneous urban data underpins key urban computing tasks (e.g., crime prediction, resource allocation). However, prevailing two-stage…
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…