11 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.IR2026
An Event is Worth One Token: Event Tokenization for Industrial-scale LLM Recommendation
Fan Xia, Zhaoheng Zheng, Iman Setayesh +12
LLM-based recommendation has scaled along model capacity and sequence length, yet each position encodes only text, semantic IDs, or a few categorical features, discarding rich user…
cs.CV2026
PhysDrape: Learning Explicit Forces and Collision Constraints for Physically Realistic Garment Draping
Minghai Chen, Mingyuan Liu, Ning Ma +2
Deep learning-based garment draping has emerged as a promising alternative to traditional Physics-Based Simulation (PBS), yet robust collision handling remains a critical bottlenec…
cs.IR2023★ 11 cited
Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta
Wei Zhang, Dai Li, Chen Liang +17
Effective user representations are pivotal in personalized advertising. However, stringent constraints on training throughput, serving latency, and memory, often limit the complexi…