(MENAFN- PR Newswire)

SHANGHAI, May 7, 2025 /PRNewswire/ -- China's leading fintech company Qifu Technology (NASDAQ: QFIN ; HKEX: 3660) and Beijing Jiaotong University have jointly achieved a significant milestone as their paper, Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning, has been accepted by the International Joint Conference on Artificial Intelligence(IJCAI)2025, a premier international conference in artificial intelligence.

With an acceptance rate of merely 19.3% - selecting 1,042 out of 5,404 submissions - IJCAI is recognized as one of the most prestigious AI conferences globally and is listed as a Class-A event by the China Computer Federation (CCF).

The research focuses on Compositional Zero-Shot Learning, aiming to identify novel combinations of attributes and objects using existing knowledge. Overcoming traditional challenges such as background interference, limited semantic capture in word embeddings, and overconfidence in known combinations, the team introduced an innovative framework named TRIDENT. By integrating Multimodal Large Language Model (MLLM) embeddings and attribute smoothing, TRIDENT utilizes modules like Feature Adaptive Aggregation (FAA) to mitigate background noise, learns conditional masks for detailed feature extraction, and leverages MLLM's hidden states to enhance semantic representation. This approach has demonstrated state-of-the-art performance across multiple datasets, offering new solutions for fields including image recognition and content understanding.

In fintech area, TRIDENT shows great potential. In intelligent risk control, it analyzes multimodal data-such as transaction behaviors and user profiles-to detect emerging fraud patterns faster than traditional models, improving assessment accuracy and reducing losses. In customer service, the framework enables more precise understanding of complex user inquiries, providing personalized and efficient support.

This achievement underscores Qifu Technology's commitment to AI innovation. By increasing R&D investment and deepening collaborations with academic institutions, the company aims to drive further advancements in AI applications, contributing to industry growth and social progress.

SOURCE Qifutech

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