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IAT: Instance-As-Token Compression for Historical User Sequence Modeling in Industrial Recommender Systems
Arxiv
0+阅读 · 4月10日
EnTransformer: A Deep Generative Transformer for Multivariate Probabilistic Forecasting
Arxiv
0+阅读 · 3月12日
Bending the Scaling Law Curve in Large-Scale Recommendation Systems
Arxiv
0+阅读 · 2月20日
HiSAC: Hierarchical Sparse Activation Compression for Ultra-long Sequence Modeling in Recommenders
Arxiv
0+阅读 · 2月24日
TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling
Arxiv
0+阅读 · 3月6日
LASER: An Efficient Target-Aware Segmented Attention Framework for End-to-End Long Sequence Modeling
Arxiv
0+阅读 · 2月12日
QARM V2: Quantitative Alignment Multi-Modal Recommendation for Reasoning User Sequence Modeling
Arxiv
0+阅读 · 2月9日
MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders
Arxiv
0+阅读 · 2月15日
From Path Signatures to Sequential Modeling: Incremental Signature Contributions for Offline RL
Arxiv
0+阅读 · 2月12日
HyperMLP: An Integrated Perspective for Sequence Modeling
Arxiv
0+阅读 · 2月13日
OneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender
Arxiv
0+阅读 · 2月2日
OneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender
Arxiv
0+阅读 · 1月30日
HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction
Arxiv
0+阅读 · 1月19日
HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction
Arxiv
0+阅读 · 1月23日
Uncovering the Computational Roles of Nonlinearity in Sequence Modeling Using Almost-Linear RNNs
Arxiv
0+阅读 · 1月12日
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