12.4.1 RAG 파이프라인 - 재작성 - Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers - 검색어를_더할수록_AI가_멍청해지는_이유

12.4.1 Precise Zero-Shot Dense Retrieval without Relevance Labels - 가짜_답안을_지어내_진짜_정보를_찾는_HyDE

12.4.1 Query2doc Query Expansion with Large Language Models - LLM_가상_문서로_애매한_검색어_확장하기

12.3 When Not to Trust Language Models Investigating Effectiveness of Parametric and Non-Parametric Memories - 인기도_낮은_지식만_검색하는_AI_적응형_전략

12.1 Measuring Forgetting of Memorized Training Examples - AI의_기억을_지우는_범인은_무작위성

12.1 Large Language Models Struggle to Learn Long-Tail Knowledge

11.9 Prism mapping interpretable concepts and features in a latent space of language

11.9 An Intuitive Explanation of Sparse Autoencoders for LLM Interpretability

11.6.1 2D Matryoshka Sentence Embddings

11.5 MTEB Massive Text Embedding Benchmark