One paper has been accepted by ACM MM 2026 🎉

Title: Hypergraph-based Multimodal Retrieval-Augmented Generation with Incremental Refinement

Our paper on hypergraph-based multimodal retrieval-augmented generation has been accepted by ACM Multimedia 2026 (Chen et al., 2026). Xiangmin Han and Yuhan Gao are the corresponding authors.

This work explores hypergraph-based modeling for multimodal retrieval-augmented generation and introduces incremental refinement to improve the retrieval and generation process.

Overview of the Hyper-M2RAG framework

References

  1. ACM MM 2026
    acmmm2026-fig1.png
    Hypergraph-based Multimodal Retrieval-Augmented Generation with Incremental Refinement
    Shenao Chen, Yidan Xu, Xiangmin Han*, Rundong Xue, Duanpo Wu, Yuhan Gao*, Chenggang Yan, and Yue Gao
    In Proceedings of the 34th ACM International Conference on Multimedia, 2026