Retrieval-augmented Generation for GenAI-enabled Semantic Communications

A. Casanova, M. Careil et al. , “Instance-conditioned GAN,” Proc. NeurIPS , vol. 34, pp. 27 517–27 529, 2021

2021

Earlier work this paper cites.

W. Chen, H. Hu et al. , “Re-imagen: Retrieval-augmented text-to-image generator,” arXiv:2209.14491 , 2022

Original

2022

Earlier work this paper cites.

D. Gündüz, Z. Qin et al. , “Beyond transmitting bits: Context, semantics, and task-oriented communications,” IEEE J. Sel. Areas Commun. , vol. 41, no. 1, pp. 5–41, 2023

2023

Earlier work this paper cites.

J. Wang, H. Du et al. , “Semantic-aware sensing information transmission for metaverse: A contest theoretic approach,” IEEE Trans. Wirel. Commun. , vol. 22, no. 8, pp. 5214–5228, 2023

2023

Earlier work this paper cites.

L. Xia, Y. Sun et al. , “Generative AI for semantic communication: Architecture, challenges, and outlook,” arXiv:2308.15483 , 2023

Original

2023

Earlier work this paper cites.

E. Erdemir, T.-Y. Tung et al. , “Generative joint source-channel coding for semantic image transmission,” IEEE J. Sel. Areas Commun. , vol. 41, no. 8, pp. 2645–2657, 2023

2023

Cited alongside, same era.

J. Deng, L. Pang et al. , “RegaVAE: A retrieval-augmented gaussian mixture variational auto-encoder for language modeling,” in Proc. EMMNLP , 2023

2023

Cited alongside, same era.

Z. Wang, W. Nie et al. , “Retrieval-based controllable molecule generation,” in Proc. ICLR , 2023

2023

Cited alongside, same era.

S. Tang, Q. Yang et al. , “Contrastive learning-based semantic communications,” IEEE Trans. Commun. , vol. 72, no. 10, pp. 6328–6343, 2024

2024

Cited alongside, same era.

S. Tang, Q. Yang et al. , “Evolving semantic communication with generative modelling,” in Proc. IEEE PIMRC , 2024

2024

Cited alongside, same era.

S. Zhao, Y. Huang et al. , “Towards understanding retrieval accuracy and prompt quality in RAG systems,” arXiv:2411.19463 , 2024

Original

2024

Closest in time.

R. Zhang, H. Du et al. , “Generative AI agents with large language model for satellite networks via a mixture of experts transmission,” IEEE J. Sel. Areas Commun. , vol. 42, no. 12, pp. 3581–3596, 2024

2024

Closest in time.

J. Ren, Z. Zhang et al. , “Knowledge base enabled semantic communication: A generative perspective,” IEEE Wirel. Commun. , vol. 31, no. 4, pp. 14–22, 2024

2024

Closest in time.

L. Qiao, M. B. Mashhadi et al. , “Latency-aware generative semantic communications with pre-trained diffusion models,” IEEE Wirel. Commun. Lett. , vol. 13, no. 10, pp. 2652–2656, 2024

2024

Closest in time.

R. Zhang, J. He et al. , “Toward democratized generative AI in next-generation mobile edge networks,” arXiv:2411.09148 , 2024