instance-aware modeling 1large language models 1multi-layer fusion 1semantic representations 1sequential recommendation 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.IR2026
Making Collaborative Signals Count: Graph-Aware Large Language Models for Sequential Recommendation
Fenglin Yan, Bohao Wang, Jian Zhang +5
Large language models (LLMs) have been widely adopted as backbones for recommender systems. However, their language-centric pretraining makes it difficult to capture collaborative…
cs.IR2026
IMFuse: Instance-Aware Multi-Layer Fusion for LLM-Enhanced Sequential Recommendation
Yuheng Zheng, Yu Cui, Bin Wu +4
The paper introduces IMFuse, a method that adaptively combines representations from multiple layers of large language models to improve sequential recommendation, using instance-aw…