Scaling Laws for Online Advertisement Retrieval
快手, 广告场景下的 Scaling Laws
Blogs
EMR-MERGING: Tuning-Free High-Performance Model Merging
EMR-MERGING, 多任务权重合并技术
OneRec: Unifying Retrieve and Rank with Generative Recommender and Preference Alignment
OneRec, 端到端的推荐模型
QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou
QARM, 多模态推荐对齐与量化
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
Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
探究 LLM 如何记忆和提取知识的实验性文章
A Self-Attentive Model for Knowledge Tracing
SAKT, 自注意力知识追踪
ECNU 生存指北
ECNU
Dynamic Key-Value Memory Networks for Knowledge Tracing
DKVMN, 带记忆结构的知识追踪