2 citations · 4 across the 9 of their papers we have counts for
11 papers
Locating Answer-Correctness Signals in Frozen Large Language Models
Yuansen Liu, Yixuan Tang, Anthony Kum Hoe Tung
Language models expose internal signals that predict whether an answer is correct, readable from a single forward pass of a frozen model without additional generations. Yet existin…
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…
DeepConnect: A Visual Analytics System for Bridging Interdisciplinary Research Collaborations
Yingchaojie Feng, Zekai Shao, Yiqun Sun +2
Interdisciplinary research collaboration is crucial for scientific innovation, but it remains difficult to initiate in practice. Existing collaborator discovery approaches are ofte…
A-TMA: Decoupling State-Aware Memory Failures in Long-Term Agent Memory
Zitong Shi, Yixuan Tang, Anthony Kum Hoe Tung
Long term memory lets LLM agents act as persistent assistants, but user facts change. A useful memory system must know what is true now, what used to be true, and what changed. We…
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…
One Swallow Does Not Make a Summer: Understanding Semantic Structures in Embedding Spaces
Yandong Sun, Qiang Huang, Ziwei Xu +3
Embedding spaces are fundamental to modern AI, translating raw data into high-dimensional vectors that encode rich semantic relationships. Yet, their internal structures remain opa…
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…
A General Framework for Producing Interpretable Semantic Text Embeddings
Yiqun Sun, Qiang Huang, Yixuan Tang +2
Semantic text embedding is essential to many tasks in Natural Language Processing (NLP). While black-box models are capable of generating high-quality embeddings, their lack of int…