2 citations · 4 across the 9 of their papers we have counts for
7 papers · 1 filter
SPARROW: Scalable Taxonomy Induction via Structure-Preserving Partitioning and Constraint-Guided Merging
Yirui Zhang, Yixuan Tang, Yandong Sun +2
Taxonomy induction aims to organize concept sets into coherent hierarchical structures. Recent LLM-based methods can induce taxonomies directly from flat term lists, avoiding the n…
Debating the Unspoken: Role-Anchored Multi-Agent Reasoning for Half-Truth Detection
Yixuan Tang, Yirui Zhang, Hang Feng +1
Half-truths, claims that are factually correct yet misleading due to omitted context, remain a blind spot for fact verification systems focused on explicit falsehoods. Addressing s…
Asking the Right Questions: Ontology-Grounded Interpretable Embeddings for Biomedical Text
Yixuan Tang, Zhenghong Lin, Yandong Sun +3
While dense biomedical embeddings achieve strong performance, their opaque dimensions limit transparency in biomedical NLP. Recent question-based interpretable embeddings represent…
MPCG: Multi-Round Persona-Conditioned Generation for Modeling the Evolution of Misinformation with LLMs
Jun Rong Brian Chong, Yixuan Tang, Anthony K. H. Tung
Misinformation evolves as it spreads, shifting in language, framing, and moral emphasis to adapt to new audiences. However, current misinformation detection approaches implicitly a…
The Missing Parts: Augmenting Fact Verification with Half-Truth Detection
Yixuan Tang, Jincheng Wang, Anthony K. H. Tung
Fact verification systems typically assess whether a claim is supported by retrieved evidence, assuming that truthfulness depends solely on what is stated. However, many real-world…
Uncovering the Bigger Picture: Comprehensive Event Understanding Via Diverse News Retrieval
Yixuan Tang, Yuanyuan Shi, Yiqun Sun +1
Access to diverse perspectives is essential for understanding real-world events, yet most news retrieval systems prioritize textual relevance, leading to redundant results and limi…