Topics
논문 리뷰를 읽은 시기와 주제별로 모았습니다.
텍스트 임베딩 · 검색 텍스트 임베딩 모델, Dense Retrieval, Hard Negative, 임베딩 벤치마크 9편
- FinMTEB
- Improving Document Retrieval Coherence for Semantically Equivalent Queries
- Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks
- Training LLMs to be Better Text Embedders through Bidirectional Reconstruction
- Boosting Data Utilization for Multilingual Dense Retrieval
- Conan-Embedding-v2
- Negative Matters
- Fixing Data That Hurts Performance
- SyNeg
멀티모달 임베딩 · 검색 이미지-텍스트 검색, MLLM 기반 임베딩, Matryoshka 표현 학습 10편
- RzenEmbed
- U-MARVEL
- MetaEmbed
- Beyond Matryoshka
- Guiding Cross-Modal Representations with MLLM Priors via Preference Alignment
- CLIP-MoE
- SMEC
- FLAME
- Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning
- Aligning Information Capacity Between Vision and Language via Dense-to-Sparse Feature Distillation for Image-Text Matching