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
Blogs
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
Distilling LLM Agent into Small Models with Retrieval and Code Tools
Agent Distillation
Structured Agent Distillation for Large Language Model
Agent 的 Reasoning & Action 蒸馏
On the Reliability of Sampling Strategies in Offline Recommender Evaluation
不同采样策略在不同曝光偏差下的区分性, 鲁棒性, 一致性
Unified Semantic and ID Representation Learning for Deep Recommenders
混合距离用于量化匹配 & 端到端的联合训练
On the Markovian Nature of the Next-Item Recommendation Task
序列推荐任务的马尔科夫性
Generative Recommendation with Semantic IDs: A Practitioner’s Handbook
分析比较了现有生成式推荐的 Tricks 并给出了一个训练框架