open-llm-leaderboard/open_llm_leaderboard: papers linking to it

Hugging Face · huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to open-llm-leaderboard/open_llm_leaderboard (https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard), 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 Hugging Face model open-llm-leaderboard/open_llm_leaderboard in their Crossref records, the first in 2025; most of them (3) in 2025.
By category: AI (3); the journals with the most are Language Resources and Evaluation (1), Expert Systems with Applications (1) and Knowledge-Based Systems (1).

By year#

20252025

Papers linking to open-llm-leaderboard/open_llm_leaderboard by publication year
Year	Papers
2025	3

Journals#

Journals whose papers link to open-llm-leaderboard/open_llm_leaderboard most
Journal	Papers
Language Resources and Evaluation	1
Expert Systems with Applications	1
Knowledge-Based Systems	1

Papers linking to open-llm-leaderboard/open_llm_leaderboard, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-09-10	User-defined trade-offs in LLM benchmarking: balancing accuracy, scale, and sustainability	Knowledge-Based Systems	Ana Gjorgjevikj, Ana Nikolikj, Barbara Koroušić Seljak et al.	5	cites it
2025-10-31	Sensory-CoKGE: A contextualized knowledge graph embedding framework using language models for converting text-based food attributes into numerical representation	Expert Systems with Applications	Yu-Tang Chang, Shih‐Fang Chen	1	cites it
2025-06-27	Parallel Trees: a novel resource with aligned dependency and constituency syntactic representations	Language Resources and Evaluation	Chiara Alzetta, Alessio Miaschi, Felice Dell’Orletta⋄ 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-llm-leaderboard/open_llm_leaderboard: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/hf-space-open-llm-leaderboard-open-llm-leaderboard

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

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