3 citations · 7 across the 6 of their papers we have counts for
6 papers
Not All Entities are Created Equal: A Dynamic Anonymization Framework for Privacy-Preserving RAG
Xinyuan Zhu, Zekun Fei, Enye Wang +5
Retrieval-Augmented Generation (RAG) enhances the utility of Large Language Models (LLMs) by retrieving external documents. Since the knowledge databases in RAG are predominantly u…
Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations
Ruijie Wang, Luca Rossetto, Susan Mérillat +3
To the best of our knowledge, all existing methods that can generate synthetic brain magnetic resonance imaging (MRI) scans for a specific individual require detailed structural or…
NLQxform-UI: A Natural Language Interface for Querying DBLP Interactively
Ruijie Wang, Zhiruo Zhang, Luca Rossetto +2
In recent years, the DBLP computer science bibliography has been prominently used for searching scholarly information, such as publications, scholars, and venues. However, its curr…
GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs
Ruijie Wang, Luca Rossetto, Michael Cochez +1
Despite the rapid progress of large language models (LLMs), knowledge graph-based question answering (KGQA) remains essential for producing verifiable and hallucination-resistant a…
NLQxform: A Language Model-based Question to SPARQL Transformer
Ruijie Wang, Zhiruo Zhang, Luca Rossetto +2
In recent years, scholarly data has grown dramatically in terms of both scale and complexity. It becomes increasingly challenging to retrieve information from scholarly knowledge g…
QAGCN: Answering Multi-Relation Questions via Single-Step Implicit Reasoning over Knowledge Graphs
Ruijie Wang, Luca Rossetto, Michael Cochez +1
Multi-relation question answering (QA) is a challenging task, where given questions usually require long reasoning chains in KGs that consist of multiple relations. Recently, metho…