---
title: "Michael Bendersky — papers of 2024 — Elamur Research"
description: "Michael Bendersky — papers of 2024: 4 papers on Elamur Research, the most cited first — what each work is about in our own words."
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---
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# Michael Bendersky — papers of 2024 — Elamur Research

4 papers · [all years of Michael Bendersky](https://md.research.elamur.ai/free/en/authors/michael-bendersky/#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*

**[LaMP: When Large Language Models Meet Personalization](https://md.research.elamur.ai/free/en/papers/salemi-2024-lamp-when-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alireza Salemi, Sheshera Mysore, Michael Bendersky, et al.*2024 · 246 citations*

**[Bridging the Preference Gap between Retrievers and LLMs](https://md.research.elamur.ai/free/en/papers/ke-2024-bridging-preference-gap-between-retrievers/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zixuan Ke, Weize Kong, Cheng Li, et al.*2024 · 46 citations*

- [Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation arXiv:2407.16008](https://md.research.elamur.ai/free/en/papers/shen-2024-boosting-reward-model-preference-conditional/) — Jiaming Shen, Ran Xu, Yennie Jun, et al. · 2024 · 5 citations
