Vector Quantization

UniCode$^2$: Cascaded Large-scale Codebooks for Unified Multimodal Understanding and Generation

非常自然的 Image-Codeword+Text-LLM-NextCodeWord-Generation 流程

SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer

TiTok 框架 + Softmax 版 Vector Quantization 以期更高的压缩比

Is Vector Quantization the Future of Recommendation?

Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations

COBRA, 链接离散编码和稠密表示的尝试

Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation

LC-Rec, LLM + RQ-VAE + 丰富的多任务训练

OneRec: Unifying Retrieve and Rank with Generative Recommender and Preference Alignment

OneRec, 端到端的推荐模型

Addressing Representation Collapse in Vector Quantized Models with One Linear Layer

SimVQ, 坐标变换替代可学习 Codebook

Restructuring Vector Quantization with The Rotation Trick

一种利用 Rotation Trick 来替代 STE 的方案

QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou

QARM, 多模态推荐对齐与量化

Unifying Generative and Dense Retrieval for Sequential Recommendation

LIGER, 生成式检索的冷启动缺陷与解决方案