most citedMulti-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems

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cs.AI2024

MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training

Zhanpeng Chen, Chengjin Xu, Yiyan Qi +1

Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in processing and generating content across multiple data modalities. However, a significant draw…