Restructuring Vector Quantization with The Rotation Trick
一种利用 Rotation Trick 来替代 STE 的方案
2025
Is Every Item Worth An Embedding?
是否每个 Item 都值得一个可学习的 Embedding 呢
Simba: 符号梯度的可行性
在 Lion 优化器之上的一些探索
Round and Round We Go! What makes Rotary Positional Encodings useful?
理解 RoPE 的高低频
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation
TTA, Test-Time Augmentation
OneRec: Unifying Retrieve and Rank with Generative Recommender and Preference Alignment
OneRec, 端到端的推荐模型
Language Representations Can be What Recommenders Need: Findings and Potentials
Next-token embedding 之于协同过滤
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
ReaRec, 多步序列推荐推理