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CoRNStack: High-Quality Contrastive Data for Better Code Ranking
Paper • 2412.01007 • Published • 3 -
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 • 9 -
Arctic-Embed 2.0: Multilingual Retrieval Without Compromise
Paper • 2412.04506 • Published • 1
Collections
Discover the best community collections!
Collections including paper arxiv:1908.10084
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EmbeddingGemma: Powerful and Lightweight Text Representations
Paper • 2509.20354 • Published • 51 -
CoDiEmb: A Collaborative yet Distinct Framework for Unified Representation Learning in Information Retrieval and Semantic Textual Similarity
Paper • 2508.11442 • Published • 5 -
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Paper • 2506.05176 • Published • 85 -
BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
Paper • 2402.03216 • Published • 10
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Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks
Paper • 2412.15605 • Published • 2 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 79 -
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Paper • 2403.14403 • Published • 7 -
Compressed Chain of Thought: Efficient Reasoning Through Dense Representations
Paper • 2412.13171 • Published • 35
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CoRNStack: High-Quality Contrastive Data for Better Code Ranking
Paper • 2412.01007 • Published • 3 -
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 • 9 -
Arctic-Embed 2.0: Multilingual Retrieval Without Compromise
Paper • 2412.04506 • Published • 1
-
EmbeddingGemma: Powerful and Lightweight Text Representations
Paper • 2509.20354 • Published • 51 -
CoDiEmb: A Collaborative yet Distinct Framework for Unified Representation Learning in Information Retrieval and Semantic Textual Similarity
Paper • 2508.11442 • Published • 5 -
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Paper • 2506.05176 • Published • 85 -
BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
Paper • 2402.03216 • Published • 10
-
Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks
Paper • 2412.15605 • Published • 2 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 79 -
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Paper • 2403.14403 • Published • 7 -
Compressed Chain of Thought: Efficient Reasoning Through Dense Representations
Paper • 2412.13171 • Published • 35