---
title: "Who cites EffiCoder: Enhancing Code — 10 citing papers"
description: "10 papers of the Elamur Research library cite «EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware…"
canonical: "https://research.elamur.ai/free/en/papers/huang-2024-efficoder-enhancing-code-generation-large/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [EffiCoder: Enhancing Code Generation in Large…](https://md.research.elamur.ai/free/en/papers/huang-2024-efficoder-enhancing-code-generation-large/) / cited by

# Who cites «EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning»

10 papers of our library cite it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning»](https://md.research.elamur.ai/free/en/papers/huang-2024-efficoder-enhancing-code-generation-large/)

1. [**TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression arXiv:2506.02678**Zhong-Zhi Li, Xiao Liang, Zihao Tang, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-tl-dr-too-long-re/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/huang-2024-efficoder-enhancing-code-generation-large/) — EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning
