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
Blogs
A Self-Attentive Model for Knowledge Tracing
SAKT, 自注意力知识追踪
Dynamic Key-Value Memory Networks for Knowledge Tracing
DKVMN, 带记忆结构的知识追踪
Meta-Learning with Memory-Augmented Neural Networks
MANN, 外置记忆模块
Deep Knowledge Tracing
DKT, 知识追踪
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
Collaborative Alignment for Recommendation
CARec, ID-Textual 特征对齐
Multimodal Pre-training for Sequential Recommendation via Contrastive Learning
MP4SR, 模态融合之于多模态序列推荐
Autoregressive Image Generation using Residual Quantization
RQ-VAE, 残差向量量化
Recommender Systems with Generative Retrieval
TIGER, 向量量化生成式检索