8 papers
HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering
Yiran Wang, Chenyi Xiong, Ziyue Qin +3
Continual Visual Question Answering (VQA) requires learning from non-stationary streams of visual inputs and questions while preserving past knowledge. Most prior methods adapt by…
MyGram: Modality-aware Graph Transformer with Global Distribution for Multi-modal Entity Alignment
Zhifei Li, Ziyue Qin, Xiangyu Luo +6
Multi-modal entity alignment aims to identify equivalent entities between two multi-modal Knowledge graphs by integrating multi-modal data, such as images and text, to enrich the s…
MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering
Zhifei Li, Yiran Wang, Chenyi Xiong +6
Visual Question Answering (VQA) requires models to reason over multimodal information, combining visual and textual data. With the development of continual learning, significant pr…
KeenKT: Knowledge Mastery-State Disambiguation for Knowledge Tracing
Zhifei Li, Lifan Chen, Jiali Yi +6
Knowledge Tracing (KT) aims to dynamically model a student's mastery of knowledge concepts based on their historical learning interactions. Most current methods rely on single-poin…
Structurally Refined Graph Transformer for Multimodal Recommendation
Ke Shi, Yan Zhang, Miao Zhang +5
Multimodal recommendation systems utilize various types of information, including images and text, to enhance the effectiveness of recommendations. The key challenge is predicting…
Integrating Object Interaction Self-Attention and GAN-Based Debiasing for Visual Question Answering
Zhifei Li, Feng Qiu, Yiran Wang +4
Visual Question Answering (VQA) presents a unique challenge by requiring models to understand and reason about visual content to answer questions accurately. Existing VQA models of…