6 papers
QKVQA: Question-Focused Filtering for Knowledge-based VQA
Wei Ye, Yixin Su, Yueguo Chen +4
Visual Question Answering (VQA) is the task of answering questions based on image content. Building upon this, Knowledge-Based VQA (KB-VQA) requires models to answer questions that…
Human-AI Co-Embodied Intelligence for Scientific Experimentation and Manufacturing
Xinyi Lin, Yuyang Zhang, Yuanhang Gan +10
Scientific experimentation and manufacturing rely on prolonged protocol development and complex, multi-step implementation, which require continuous human expertise for precise exe…
DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains
Yongkang Xiao, Sinian Zhang, Yi Dai +4
Knowledge graph completion (KGC) aims to predict missing triples in knowledge graphs (KGs) by leveraging existing triples and textual information. Recently, generative large langua…
Accumulative SGD Influence Estimation for Data Attribution
Yunxiao Shi, Shuo Yang, Yixin Su +2
Modern data-centric AI needs precise per-sample influence. Standard SGD-IE approximates leave-one-out effects by summing per-epoch surrogates and ignores cross-epoch compounding, w…
HERGC: Heterogeneous Experts Representation and Generative Completion for Multimodal Knowledge Graphs
Yongkang Xiao, Rui Zhang
Multimodal knowledge graphs (MMKGs) enrich traditional knowledge graphs (KGs) by incorporating diverse modalities such as images and text. multimodal knowledge graph completion (MM…
Mindalogue: LLM-Powered Nonlinear Interaction for Effective Learning and Task Exploration
Rui Zhang, Ziyao Zhang, Fengliang Zhu +2
Current generative AI models like ChatGPT, Claude, and Gemini are widely used for knowledge dissemination, task decomposition, and creative thinking. However, their linear interact…