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Making Multimodal Generation Easier: When Diffusion Models Meet LLMs.

, , , , и . CoRR, (2023)

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Xiao-Ming Li

Xiao Ming Qian

Xiao-Ming Chen

Xiao-Ming Chen

Xiao-Ming Chen

 

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A new self-supervised task on graphs: Geodesic distance prediction., , , , и . Inf. Sci., (2022)Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization., , , , , , и . NAACL-HLT, стр. 532-542. Association for Computational Linguistics, (2022)Simple yet Effective Gradient-Free Graph Convolutional Networks., , , , и . CoRR, (2023)A Closer Look at Few-Shot Out-of-Distribution Intent Detection., , , , и . COLING, стр. 451-460. International Committee on Computational Linguistics, (2022)Neighborhood-based Hard Negative Mining for Sequential Recommendation., , , и . SIGIR, стр. 2042-2046. ACM, (2023)Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification., , , , , , и . ACL, стр. 1050-1060. Association for Computational Linguistics, (2020)VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection., , и . LREC/COLING, стр. 17371-17383. ELRA and ICCL, (2024)Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey., , , , , , , , и . CoRR, (2024)Structure-aware Semantic Node Identifiers for Learning on Graphs., , , и . CoRR, (2024)Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification., , и . CoRR, (2024)