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Shengwei Zhao

2 accepted papers

2026

MMRAG-RFT: Two-stage Reinforcement Fine-tuning for Explainable Multi-modal Retrieval-augmented Generation

AAAI 2026technical

Multi-modal Retrieval-Augmented Generation (MMRAG) enables highly credible generation by integrating external multi-modal knowledge, thus demonstrating impressive performance in complex multi-modal scenarios. However, existing MMRAG methods fail to clarify the reasoning logic behind retrieval and re

Cited by 0SourcePDFScholar
2022

Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets

AAAI 2022technical

Learning against label noise is a vital topic to guarantee a reliable performance for deep neural networks.Recent research usually refers to dynamic noise modeling with model output probabilities and loss values, and then separates clean and noisy samples.These methods have gained notable success. H…

Cited by 50SourcePDFScholar