2 citations · 4 across the 5 of their papers we have counts for
5 papers
The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective
Zhen Qin, Daoyuan Chen, Wenhao Zhang +5
The rapid development of large language models (LLMs) has been witnessed in recent years. Based on the powerful LLMs, multi-modal LLMs (MLLMs) extend the modality from text to a br…
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network
Xuan Shen, Yaohua Wang, Ming Lin +4
The rapid advances in Vision Transformer (ViT) refresh the state-of-the-art performances in various vision tasks, overshadowing the conventional CNN-based models. This ignites a fe…
Enhancing Model Performance in Multilingual Information Retrieval with Comprehensive Data Engineering Techniques
Qi Zhang, Zijian Yang, Yilun Huang +6
In this paper, we present our solution to the Multilingual Information Retrieval Across a Continuum of Languages (MIRACL) challenge of WSDM CUP 2023\footnote{https://project-miracl…
A Semantic Alignment System for Multilingual Query-Product Retrieval
Qi Zhang, Zijian Yang, Yilun Huang +6
This paper mainly describes our winning solution (team name: www) to Amazon ESCI Challenge of KDD CUP 2022, which achieves a NDCG score of 0.9043 and wins the first place on task 1…
An Effective Way for Cross-Market Recommendation with Hybrid Pre-Ranking and Ranking Models
Qi Zhang, Zijian Yang, Yilun Huang +2
The Cross-Market Recommendation task of WSDM CUP 2022 is about finding solutions to improve individual recommendation systems in resource-scarce target markets by leveraging data f…