---
title: "Baichuan — works of 2024: 4 papers, the most cited first"
description: "4 works of Baichuan from 2024 in our library, the most cited first. Among them: ShortGPT: Layers in Large Language Models are More…"
canonical: "https://research.elamur.ai/free/en/companies/baichuan/year/2024/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/companies/baichuan/year/2024/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [companies](https://md.research.elamur.ai/free/en/companies/) / [Baichuan](https://md.research.elamur.ai/free/en/companies/baichuan/) / 2024

# Works of Baichuan from 2024

4 works · the most cited first · [← Baichuan](https://md.research.elamur.ai/free/en/companies/baichuan/)

1. [**ShortGPT: Layers in Large Language Models are More Redundant Than You Expect arXiv:2403.03853**Xin Men, Mingyu Xu, Qingyu Zhang, et al.*2024 · 170 citations*](https://md.research.elamur.ai/free/en/papers/men-2024-shortgpt-layers-large-language-models/)
2. [**Base of RoPE Bounds Context Length arXiv:2405.14591**Xin Men, Mingyu Xu, Bingning Wang, et al.*2024 · 12 citations*](https://md.research.elamur.ai/free/en/papers/men-2024-base-rope-bounds-context/)
3. [**Baichuan Alignment Technical Report arXiv:2410.14940**Mingan Lin, Fan Yang, Yanjun Shen, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/lin-2024-baichuan-alignment-technical-report/)
4. [**BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline arXiv:2408.15079**Guosheng Dong, Da Pan, Yiding Sun, et al.*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/dong-2024-baichuanseed-sharing-potential-extensive/)
- [← back to](https://md.research.elamur.ai/free/en/companies/baichuan/) — Baichuan