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Multimodal Pre-Training with Self-Distillation for Product Understanding in E-Commerce., , , , and . WSDM, page 1039-1047. ACM, (2023)Parameter adjustment of finger vein recognition algorithms., , , , , , and . ISBA, page 1-8. IEEE, (2017)Knowledge-Grounded Dialogue with Reward-Driven Knowledge Selection., , , and . NLPCC (1), volume 13028 of Lecture Notes in Computer Science, page 455-466. Springer, (2021)DeepVein: Novel finger vein verification methods based on Deep Convolutional Neural Networks., , , , , and . ISBA, page 1-8. IEEE, (2017)LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation Using Pretraining Language Model., , , and . SemEval@COLING, page 562-568. International Committee for Computational Linguistics, (2020)A Study of Temporal Stability on Finger-Vein Recognition Accuracy Using a Steady-State Model., , , and . ICBBT, page 7-12. ACM, (2018)Biometric Identification System's Performance Enhancement by Improving Registration Progress., , , and . CCBR, volume 7701 of Lecture Notes in Computer Science, page 288-299. Springer, (2012)A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation., , , , , and . EMNLP (1), page 2262-2272. Association for Computational Linguistics, (2021)A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling., , , , , , and . EMNLP (1), page 2646-2656. Association for Computational Linguistics, (2021)A study on the individuality of finger vein based on statistical analysis., , , , and . ICB, page 1-5. IEEE, (2016)