--- title: "Nan Yang — papers of 2024 — 5 papers, the most cited first" description: "Nan Yang — papers of 2024: 5 papers on Elamur Research, the most cited first — what each work is about in our own words." canonical: "https://research.elamur.ai/free/en/authors/nan-yang/year/2024/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nan-yang/year/2024/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Nan Yang](https://md.research.elamur.ai/free/en/authors/nan-yang/) / 2024 # Nan Yang — papers of 2024 — 5 papers, the most cited first 5 papers · [all years of Nan Yang](https://md.research.elamur.ai/free/en/authors/nan-yang/#years) **[Improving Text Embeddings with Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2024-improving-text-embeddings-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liang Wang, Nan Yang, Xiaolong Huang, et al.*2024 · 437 citations* - [Multilingual E5 Text Embeddings: A Technical Report arXiv:2402.05672](https://md.research.elamur.ai/free/en/papers/wang-2024-multilingual-e5-text-embeddings-technical/) — Liang Wang, Nan Yang, Xiaolong Huang, et al. · 2024 · 346 citations - [Generative Representational Instruction Tuning arXiv:2402.09906](https://md.research.elamur.ai/free/en/papers/muennighoff-2024-generative-representational-instruction-tuning/) — Niklas Muennighoff, Hongjin Su, Liang Wang, et al. · 2024 · 172 citations **[Learning to Retrieve In-Context Examples for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2024-learning-retrieve-context-examples-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Liang Wang, Nan Yang, Furu Wei*2024 · 106 citations* **[LongEmbed: Extending Embedding Models for Long Context Retrieval](https://md.research.elamur.ai/free/en/papers/zhu-2024-longembed-extending-embedding-models-long/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Dawei Zhu, Liang Wang, Nan Yang, et al.*2024 · 37 citations*