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cs.LG2026
Multimodal Graph Retrieval-Augmented Sequential Recommendation via Collaborative Filtering Paths
Jason Marcell Setiadi, Xin Cao, Lina Yao
Multimodal Large Language Models (MLLMs) have demonstrated strong potential for sequential recommendation through their ability to reason over complex multimodal data. However, exi…
cs.LG2025
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
Ruhan Wang, Zhiyong Wang, Chengkai Huang +5
For question-answering (QA) tasks, in-context learning (ICL) enables language models to generate responses without modifying their parameters by leveraging examples provided in the…