🧑‍🔬 Jon Ander Campos

🏛️ Affiliations

🎓University of the Basque CountryLeioa · Spain2020–2023 · 14 papers🏢CohereSan Francisco · United States2024 · 2 papers🎓New York UniversityNew York · United States2022–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark (2023 · 250 citations)
   This position paper argues that benchmark-based NLP evaluation is unreliable when large language models have already seen the test data.
2. Aya 23: Open Weight Releases to Further Multilingual Progress (2024 · 172 citations)
   Aya 23 addresses a weakness of massively multilingual models. When one model covers about a hundred languages, each language gets only a small share of its capacity (the "curse of multilinguality"). Aya 101 also relied on the aging mT5 base. Cohere For AI instead concentrated on 23 languages, including Ukrainian…

All works

7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each BenchmarkFindings of the Association for Computational LinguisticsOscar Sainz, Jon Campos, Iker García-Ferrero, et al.2023 · 250 citations
2. Aya 23: Open Weight Releases to Further Multilingual ProgressarXiv:2405.15032Viraat Aryabumi, John Dang, Dwarak Talupuru, et al.2024 · 172 citations
3. Training Language Models with Language Feedback at Scale ↗arXiv:2303.16755 · no summary yetJérémy Scheurer et al.2023 · 85 citations
4. Training Language Models with Language Feedback ↗arXiv (Cornell University) · no summary yetJérémy Scheurer et al.2022 · 58 citations
5. Improving Code Generation by Training with Natural Language Feedback ↗arXiv:2303.16749 · no summary yetAngelica Chen et al.2023 · 47 citations
6. Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning ↗Proceedings of the 28th International Conference on Computational Linguistics · no summary yetJon Ander Campos et al.2020 · 12 citations
7. IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition Using Knowledge Bases ↗Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023) · no summary yetIker García-Ferrero et al.2023 · 9 citations

🤝 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

• Bharat Venkitesh
• Eneko Agirre
• Hangyu Lin
• Iker García-Ferrero
• John Dang
• Julen Etxaniz
• Kelly Marchisio
• Madeline Smith
• Max Bartolo
• Oier Lopez de Lacalle
• Oscar Sainz
• Viraat Aryabumi

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
• Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
• Proceedings of the 28th International Conference on Computational Linguistics

🔗 Cited by

Papers of our library cite their works 497 times (of the 149,439 papers whose bibliographies we read); 116 citing papers with a page here →.

Updated 30 October 2026

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