---
title: "Kai Hui — papers of 2024 — 2 papers, the most cited first"
description: "Kai Hui — papers of 2024: 2 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/kai-hui/year/2024/"
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# Kai Hui — papers of 2024 — 2 papers, the most cited first

2 papers · [all years of Kai Hui](https://md.research.elamur.ai/free/en/authors/kai-hui/#years)

**[Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting](https://md.research.elamur.ai/free/en/papers/qin-2024-large-language-models-are-effective/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhen Qin, Rolf Jagerman, Kai Hui, et al.*2024 · 300 citations*

- [Gecko: Versatile Text Embeddings Distilled from Large Language Models arXiv:2403.20327](https://md.research.elamur.ai/free/en/papers/lee-2024-gecko-versatile-text-embeddings-distilled/) — Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, et al. · 2024 · 74 citations