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karmiq 's Collections
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updated Jun 27, 2024
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  • Dense X Retrieval: What Retrieval Granularity Should We Use?

    Paper • 2312.06648 • Published Dec 11, 2023 • 1

  • Improving Text Embeddings with Large Language Models

    Paper • 2401.00368 • Published Dec 31, 2023 • 81

  • Text Embeddings Reveal (Almost) As Much As Text

    Paper • 2310.06816 • Published Oct 10, 2023 • 1

  • RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

    Paper • 2401.08406 • Published Jan 16, 2024 • 37

  • Multilingual E5 Text Embeddings: A Technical Report

    Paper • 2402.05672 • Published Feb 8, 2024 • 23

  • Retrieval-Augmented Generation for Large Language Models: A Survey

    Paper • 2312.10997 • Published Dec 18, 2023 • 11

  • Some Like It Small: Czech Semantic Embedding Models for Industry Applications

    Paper • 2311.13921 • Published Nov 23, 2023

  • Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation

    Paper • 2406.16678 • Published Jun 24, 2024 • 16
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