tatsu-lab/alpaca_eval: papers linking to it

GitHub · 2,023 stars · 314 forks · Jupyter Notebook · license Apache-2.0 · created 2023 · github.com/tatsu-lab/alpaca_eval

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to tatsu-lab/alpaca_eval (https://github.com/tatsu-lab/alpaca_eval), 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 tatsu-lab/alpaca_eval in their Crossref records, the first in 2025; most of them (2) in 2025.
By category: AI (3); the journals with the most are Neural Networks (1), Applied Intelligence (1) and AI & Society (1).

By year#

20252026

Papers linking to tatsu-lab/alpaca_eval by publication year
Year	Papers
2025	2
2026	1

Journals#

Journals whose papers link to tatsu-lab/alpaca_eval most
Journal	Papers
Neural Networks	1
Applied Intelligence	1
AI & Society	1

Papers linking to tatsu-lab/alpaca_eval, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-04-02	Large language models: assessment for singularity	AI & Society	Ryunosuke Ishizaki, Mahito Sugiyama	3	cites it
2025-11-20	Chain-of-Detection enables robust and efficient jailbreak defense	Neural Networks	Tingting Wu, Hao Zhang	2	cites it
2026-01-01	SIPA: a self-iterative preference alignment method for generative language models	Applied Intelligence	Yongping Du, Binrui Wang, Yin Hou et al.	0	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). tatsu-lab/alpaca_eval: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-tatsu-lab-alpaca-eval

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

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