1 citations · 1 across the 7 of their papers we have counts for
8 papers
GUIDE: Generative Unsupervised Chinese Query Correction via Phonetic and Visual Shared-ID Encoding
Lei Yang, Binbin Huang, Jiwei Tan +4
Chinese query correction (CQC) is important for search and query recommendation on content platforms, but supervised methods rely on large annotated correction pairs that are costl…
Hyperbolic Multimodal Generative Representation Learning for Generalized Zero-Shot Multimodal Information Extraction
Baohang Zhou, Kehui Song, Rize Jin +5
Multimodal information extraction (MIE) constitutes a set of essential tasks aimed at extracting structural information from Web texts with integrating images, to facilitate the st…
Plan of Knowledge: Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
Xinying Qian, Ying Zhang, Yu Zhao +3
Temporal Knowledge Graph Question Answering (TKGQA) aims to answer time-sensitive questions by leveraging factual information from Temporal Knowledge Graphs (TKGs). While previous…
From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering
Yu Zhao, Ying Zhang, Xuhui Sui +4
Knowledge-based Visual Question Answering (KBVQA) necessitates external knowledge incorporation beyond cross-modal understanding. Existing KBVQA methods either utilize implicit kno…
Dark Side of Modalities: Reinforced Multimodal Distillation for Multimodal Knowledge Graph Reasoning
Yu Zhao, Ying Zhang, Xuhui Sui +4
The multimodal knowledge graph reasoning (MKGR) task aims to predict the missing facts in the incomplete MKGs by leveraging auxiliary images and descriptions of entities. Existing…
Hyper-modal Imputation Diffusion Embedding with Dual-Distillation for Federated Multimodal Knowledge Graph Completion
Ying Zhang, Yu Zhao, Xuhui Sui +5
With the increasing multimodal knowledge privatization requirements, multimodal knowledge graphs in different institutes are usually decentralized, lacking of effective collaborati…
Multimodal Graph-Based Variational Mixture of Experts Network for Zero-Shot Multimodal Information Extraction
Baohang Zhou, Ying Zhang, Yu Zhao +2
Multimodal information extraction on social media is a series of fundamental tasks to construct the multimodal knowledge graph. The tasks aim to extract the structural information…
Multi-grained Label Refinement Network with Dependency Structures for Joint Intent Detection and Slot Filling
Baohang Zhou, Ying Zhang, Xuhui Sui +2
Slot filling and intent detection are two fundamental tasks in the field of natural language understanding. Due to the strong correlation between these two tasks, previous studies…