Blogs

Understanding Embedding Scaling in Collaborative Filtering

理解 Scaling up Embedding Size 过程中会出现的 double-peak/logarithmic 现象

UniSearch: Rethinking Search System with a Unified Generative Architecture

End-to-End 生成式检索

RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation

在多个开源数据集上训练的生成式推荐模型, 利用课程学习训练 Tokenizer

Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation

对残差量化的修改

HLLM-Creator: Hierarchical LLM-based Personalized Creative Generation

利用 LLM 高效生成个性化广告语

GRAND: Graph Neural Diffusion

R2MR: Review and Rewrite Modality for Recommendation

修正低质量模态特征以改善多模态协同过滤

Representation Quantization for Collaborative Filtering Augmentation

经过正交变换后的向量量化

Scaled-Dot-Product Attention as One-Sided Entropic Optimal Transport

从最优传输的角度理解和统一 Attention 机理

Markov Chain Estimation with In-Context Learning

探究利用 Transformer 估计马氏链的可泛化能力