efficient inference 1multi-modal features 1personalization 1recommendation systems 1transformer models 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.IR2026
Memory Layer: Train the In-Model Cache for Recommendation Models
Liangyuan Na, Gufan Yin, Yixin Bao +19
Early ranking stages in recommendation systems precompute item embeddings and cache them in-model for scoring within strict latency constraints. Because this cache exists only at s…
cs.IR2026
SlimPer: Make Personalization Model Slim and Smart
Siqi Wang, Xianjie Chen, Shaofeng Deng +42
SlimPer is a transformer‑based recommendation model that treats personalized ranking as iterative refinement of a compact user‑item knowledge base, achieving linear per‑layer cost…
cs.DC2025
RServe: Overlapping Encoding and Prefill for Efficient LMM Inference
Tianyu Guo, Tianming Xu, Xianjie Chen +3
Large multimodal models (LMMs) typically employ an encoding module to transform multimodal data inputs into embeddings, which are then fed to language models for further processing…