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AI 관련 논문
JUNHO YEOM
·
2024년 11월 1일
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AI
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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
VLM
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
JUNHO YEOM
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