open-compass/opencompass: papers linking to it

GitHub · 7,563 stars · 899 forks · Python · license Apache-2.0 · created 2023 · github.com/open-compass/opencompass

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to open-compass/opencompass (https://github.com/open-compass/opencompass), 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#

4 papers in the tracked journals link to the GitHub repository open-compass/opencompass in their Crossref records, the first in 2024; most of them (2) in 2025.
By category: AI (4); the journals with the most are Neural Networks (1), Nature Machine Intelligence (1) and Expert Systems with Applications (1).
2 of the papers build on one another: a later paper cites an earlier one that also links open-compass/opencompass.

By year#

20242026

Papers linking to open-compass/opencompass by publication year
Year	Papers
2024	1
2025	2
2026	1

Journals#

Journals whose papers link to open-compass/opencompass most
Journal	Papers
Neural Networks	1
Nature Machine Intelligence	1
Expert Systems with Applications	1
Knowledge and Information Systems	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Pay more attention to the robustness of LLMs on adversarial prompt for instruction data mining Neural Networks, 2025
- Model compression-driven instruction data mining framework with integrated adversarial attack strategies Expert Systems with Applications, 2026 — cites the paper above

Papers linking to open-compass/opencompass, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-11-06	Densing law of LLMs	Nature Machine Intelligence	Chaojun Xiao, Jie Cai, Weilin Zhao et al.	24	cites it
2025-08-22	Pay more attention to the robustness of LLMs on adversarial prompt for instruction data mining	Neural Networks	Qiang Wang, Dawei Feng, Xu Zhang et al.	1	cites it
2026-05-14	Model compression-driven instruction data mining framework with integrated adversarial attack strategies	Expert Systems with Applications	Qiang Wang, Ao Shen, Yifan Zeng et al.	1	cites it
2024-09-06	Targeted training for numerical reasoning with large language models	Knowledge and Information Systems	Li Xiao, Sichen Liu, Yin Zhu 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). open-compass/opencompass: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-open-compass-opencompass

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

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