임베딩 모델
- BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
- RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder
- NV-Retriever: Improving text embedding models with effective hard-negative mining
- NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
- C-Pack: Packed Resources For General Chinese Embeddings
검색 관련(키워드)
- MRR
