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cs.IR2026
Give Users the Wheel: Towards Promptable Recommendation Paradigm
Fuyuan Lyu, Chenglin Luo, Qiyuan Zhang +6
Conventional sequential recommendation models have achieved remarkable success in mining implicit behavioral patterns. However, these architectures remain structurally blind to exp…
cs.IR2026
Multi-Source Retrieval and Reasoning for Legal Sentencing Prediction
Junjie Chen, Haitao Li, Qilei Zhang +9
Legal judgment prediction (LJP) aims to predict judicial outcomes from case facts and typically includes law article, charge, and sentencing prediction. While recent methods perfor…
cs.IR2025
Why Generate When You Can Transform? Unleashing Generative Attention for Dynamic Recommendation
Yuli Liu, Wenjun Kong, Cheng Luo +1
Sequential Recommendation (SR) focuses on personalizing user experiences by predicting future preferences based on historical interactions. Transformer models, with their attention…