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

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

← Code and data repositories cited in research papers

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.

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#

20252026

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	1
Expert Systems with Applications	1
Machine Learning	1

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?	Expert Systems with Applications	María Navas-Loro, Hideaki Takeda, Ken Satoh	2	cites it
2025-10-01	Necessary and sufficient knowledge enhanced collaborative logical reasoning in LLMs	Neural Networks	Peng Wang, Xiao Ding, Kai Xiong et al.	1	cites it
2026-05-23	Predicate Renaming via Large Language Models	Machine Learning	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

@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}
}

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