5 papers
NILC: Discovering New Intents with LLM-assisted Clustering
Hongtao Wang, Renchi Yang, Wenqing Lin
New intent discovery (NID) seeks to recognize both new and known intents from unlabeled user utterances, which finds prevalent use in practical dialogue systems. Existing works tow…
Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution
Hongtao Wang, Renchi Yang, Haoran Zheng +1
Dirty entity resolution (ER), which identifies records referring to the same real-world entity from a single, messy dataset, is a fundamental task in data management and mining. Ho…
Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering
Haoran Zheng, Renchi Yang, Hongtao Wang +1
Multimodal Attributed Graphs (MMAGs) are an expressive data model for representing the complex interconnections among entities that associate attributes from multiple data modaliti…
Cequel: Cost-Effective Querying of Large Language Models for Text Clustering
Hongtao Wang, Taiyan Zhang, Renchi Yang +1
Text clustering aims to automatically partition a collection of documents into coherent groups based on their linguistic features. In the literature, this task is formulated either…
SAFT: Structure-aware Transformers for Textual Interaction Classification
Hongtao Wang, Renchi Yang, Hewen Wang +2
Textual interaction networks (TINs) are an omnipresent data structure used to model the interplay between users and items on e-commerce websites, social networks, etc., where each…