MDM: Meta diffusion model for hard-constrained text generation-Reference-Cited by-同舟云学术

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MDM: Meta diffusion model for hard-constrained text generation

Published:2024-01 Issue: Volume:283 Page:111147
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Ke Wenjun^ORCID,Guo Yikai^ORCID,Liu Qi^ORCID,Chen Wanyi^ORCID,Wang Peng^ORCID,Luo Haoran^ORCID,Luo Zhizhao^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference52 articles.

1. Hierarchical template transformer for fine-grained sentiment controllable generation;Yuan;Inf. Process. Manage.,2022

2. Pattern and content controlled response generation;Sun;Inf. Process. Manage.,2021

3. FET-LM: Flow-enhanced variational autoencoder for topic-guided language modeling;Tu;IEEE Trans. Neural Netw. Learn. Syst.,2023

4. Effective unsupervised constrained text generation based on perturbed masking;Fu,2022

5. DiffusER: Discrete diffusion via edit-based reconstruction;Reid,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Style-aware two-stage learning framework for video captioning;Knowledge-Based Systems;2024-10

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