Long-context Retrieval
Long-context retrieval quality across synthetic and real-world tasks featuring documents of varying length with dispersed target information.
Reference paper →Cite this benchmark
Citation (BibTeX)
@article{zhu2024longembed,
author = {Zhu, Dawei and Wang, Liang and Yang, Nan and Song, Yifan and Wu, Wenhao and Wei, Furu and Li, Sujian},
journal = {arXiv preprint arXiv:2404.12096},
title = {LongEmbed: Extending Embedding Models for Long Context Retrieval},
year = {2024},
}
Languages 1
Tasks 6
Task Types 1
Models 0