Bibliography (11):

  1. Contrastive Representation Learning: A Framework and Review

  2. MTEB: Massive Text Embedding Benchmark

  3. https://huggingface.co/spaces/mteb/leaderboard

  4. https://instructor-embedding.github.io/

  5. https://arxiv.org/pdf/2212.09741#page=3

  6. Natural Questions: A Benchmark for Question Answering Research

  7. 2022-su-figure5-instructormodelsbenefitfromlongerdetaileddescriptionofdesiredembeddingfunctionality.png

  8. Large Dual Encoders Are Generalizable Retrievers

  9. Wikipedia Bibliography:

    1. Text embeddings

    2. https://en.wikipedia.org/wiki/Argument_maps  :

      https://en.wikipedia.org/wiki/Argument_maps

    3. Principal component analysis