CoRNStack: High-Quality Contrastive Data for Better Code Ranking
Paper • 2412.01007 • Published • 3
Training Papers
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Fantastic (small) Retrievers and How to Train Them: mxbai-edge-colbert-v0 Tech Report
Paper • 2510.14880 • Published • 20 -
Simple Projection Variants Improve ColBERT Performance
Paper • 2510.12327 • Published • 7 -
Arctic-Embed 2.0: Multilingual Retrieval Without Compromise
Paper • 2412.04506 • Published • 1 -
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss
Paper • 2410.17243 • Published • 93 -
Improving Text Embeddings for Smaller Language Models Using Contrastive Fine-tuning
Paper • 2408.00690 • Published • 25 -
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup
Paper • 2101.06983 • Published • 2 -
MaBERT:A Padding Safe Interleaved Transformer Mamba Hybrid Encoder for Efficient Extended Context Masked Language Modeling
Paper • 2603.03001 • Published • 1 -
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Paper • 1908.10084 • Published • 15 -
NV-Retriever: Improving text embedding models with effective hard-negative mining
Paper • 2407.15831 • Published • 4 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 157 -
Beyond Hard Negatives: The Importance of Score Distribution in Knowledge Distillation for Dense Retrieval
Paper • 2604.04734 • Published • 15