8 citations · 22 across the 39 of their papers we have counts for
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cs.AI2026
SA-RSQ: A Versatile Sparse Representation Framework for Multi-modal Recommender Systems
Xiang Wang, Shigang Quan, Tingzhen Chang +5
Deploying high-dimensional multimodal features in industrial recommender systems incurs substantial storage and latency overhead. Hard quantization is compact but introduces bounda…
cs.AI2026
Do MLLMs Really Understand Space? A Mathematical Reasoning Evaluation
Shuo Lu, Jianjie Cheng, Yinuo Xu +16
Multimodal large language models (MLLMs) have achieved strong performance on perception-oriented tasks, yet their ability to perform mathematical spatial reasoning, defined as the…
cs.AI2024
Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel Bidding
Shenghong He, Chao Yu
Real-time bidding (RTB) plays a pivotal role in online advertising ecosystems. Advertisers employ strategic bidding to optimize their advertising impact while adhering to various f…