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Dense X Retrieval: What Retrieval Granularity Should We Use?
Paper
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2312.06648
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Published
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1
Improving Text Embeddings with Large Language Models
Paper
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2401.00368
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Published
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79
Text Embeddings Reveal (Almost) As Much As Text
Paper
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2310.06816
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Published
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1
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on
Agriculture
Paper
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2401.08406
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Published
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37
Multilingual E5 Text Embeddings: A Technical Report
Paper
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2402.05672
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Published
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20
Retrieval-Augmented Generation for Large Language Models: A Survey
Paper
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2312.10997
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Published
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10
Some Like It Small: Czech Semantic Embedding Models for Industry
Applications
Paper
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2311.13921
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Published
Segment Any Text: A Universal Approach for Robust, Efficient and
Adaptable Sentence Segmentation
Paper
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2406.16678
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Published
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15