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20242026
most citedA General Framework for Producing Interpretable Semantic Text Embeddings

2 citations · 4 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

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…

cs.CL2026

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…

cs.HC2026

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…

cs.AI2026

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…

cs.CL2026

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…

cs.CL2026

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…