DBScholar

Back to papers

An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models

Summary: Interactive multimodal QA via contrastive modality-aware retrieval and a computationally pruned navigation-graph index for efficient RAG over multimodal knowledge bases. A pluggable pipeline lets users swap embedding, indexing, and LLM components. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13838
Venue
VLDB
Year
2024
Pagerank
5.448279e-05
Overall Rank
8,343 | 42.77%
DOI
10.14778/3685800.3685868

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wang_vldb24,
        title = {{An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models}},
        author = {Wang, Mengzhao and Wu, Haotian and Ke, Xiangyu and Gao, Yunjun and Xu, Xiaoliang and Chen, Lu},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {12},
        pages = {4333--4336},
        doi = {10.14778/3685800.3685868},
        url = {https://doi.org/10.14778/3685800.3685868},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers