---
title: "meta-llama/llama-models: papers citing it"
description: "3 papers in the tracked journals link to the GitHub repository meta-llama/llama-models in their Crossref records, the first in 2025; most of them (2) in 2026."
url: https://scholar4ai.com/code/github-meta-llama-llama-models
markdown_url: https://scholar4ai.com/code/github-meta-llama-llama-models.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to the GitHub repository meta-llama/llama-models in their Crossref records, the first in 2025; most of them (2) in 2026. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# meta-llama/llama-models: papers linking to it

Research papers in the 480 tracked journals that link to meta-llama/llama-models (https://github.com/meta-llama/llama-models), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

- GitHub
- 7,717 stars
- 1,409 forks
- Python
- created 2024
- https://github.com/meta-llama/llama-models

All repositories: https://scholar4ai.com/code.md

## Key findings

- 3 papers in the tracked journals link to the GitHub repository meta-llama/llama-models in their Crossref records, the first in 2025; most of them (2) in 2026.
- By category: AI (3); the journals with the most are Neural Networks (1), Expert Systems with Applications (1) and Machine Learning (1).

## By year

*Papers linking to meta-llama/llama-models by publication year*

| Year | Papers |
|---|---:|
| 2025 | 1 |
| 2026 | 2 |

## Journals

*Journals whose papers link to meta-llama/llama-models most*

| Journal | Papers |
|---|---:|
| [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 1 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 1 |

## Papers

*Papers linking to meta-llama/llama-models, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2026-01-04 | [Large Language Models for translating contract-related texts to logical predicates: Prompting, fine-tuning or dedicated library?](https://doi.org/10.1016/j.eswa.2025.131031) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | María Navas-Loro, Hideaki Takeda, Ken Satoh | 2 | cites it |
| 2025-10-01 | [Necessary and sufficient knowledge enhanced collaborative logical reasoning in LLMs](https://doi.org/10.1016/j.neunet.2025.108164) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Peng Wang, Xiao Ding, Kai Xiong et al. | 1 | cites it |
| 2026-05-23 | [Predicate Renaming via Large Language Models](https://doi.org/10.1007/s10994-026-07075-1) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Elisabetta Gentili, Tony Ribeiro, Fabrizio Riguzzi et al. | 1 | cites it |

## How this is measured

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

## Cite this page

Scholar4AI. (2026). meta-llama/llama-models: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-meta-llama-llama-models

```bibtex
@misc{scholar4ai-code-github-meta-llama-llama-models,
  author = {{Scholar4AI}},
  title = {meta-llama/llama-models: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-meta-llama-llama-models}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).