---
title: "Who cites Pushing Mixture of Experts to the — 55 citing papers"
description: "55 papers of the Elamur Research library cite «Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction…"
canonical: "https://research.elamur.ai/free/en/papers/zadouri-2023-pushing-mixture-experts-limit-extremely/cited-by/"
---
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# Who cites «Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning»

55 papers of our library cite it (of the 141,840 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning»](https://md.research.elamur.ai/free/en/papers/zadouri-2023-pushing-mixture-experts-limit-extremely/)

1. [**Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey arXiv:2403.14608**Zeyu Han, Chao Gao, Jinyang Liu, et al.*2024 · 236 citations*](https://md.research.elamur.ai/free/en/papers/han-2024-parameter-efficient-fine-tuning-large/)

54 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/zadouri-2023-pushing-mixture-experts-limit-extremely/) — Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning