--- title: "Rafael Mosquera — author profile and papers in our library" description: "Rafael Mosquera: 2 papers on Elamur Research (2024–2026), h-index 4 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/rafael-mosquera/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/rafael-mosquera/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Rafael Mosquera # Rafael Mosquera Rafael Mosquera has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Adina Williams](https://md.research.elamur.ai/free/en/authors/adina-williams/), [Atnafu Lambebo Tonja](https://md.research.elamur.ai/free/en/authors/atnafu-lambebo-tonja/), [Bertie Vidgen](https://md.research.elamur.ai/free/en/authors/bertie-vidgen/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5011309559) · [ORCID](https://orcid.org/0009-0009-0812-6330) · [Wikidata](https://www.wikidata.org/wiki/Q130933691) · [**h-index 4**](https://openalex.org/authors/A5011309559) · [14 works](https://openalex.org/works?filter=author.id:A5011309559) · [167 citations](https://openalex.org/works?filter=author.id:A5011309559&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/rafael-mosquera/#papers) · [🔗 Cited 281 times in our library](https://md.research.elamur.ai/free/en/authors/rafael-mosquera/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7328](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7328) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Rafael+Mosquera) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Rafael+Mosquera) · [dblp](https://dblp.org/search?q=Rafael+Mosquera) · [ACL Anthology](https://aclanthology.org/search/?q=Rafael+Mosquera) ## Affiliations [🎓**Alexandria University** Alexandria · Egypt 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/alexandria-university/) 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. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/rafael-mosquera/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/rafael-mosquera/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models](https://md.research.elamur.ai/free/en/papers/kirk-2024-prism-alignment-dataset-participatory-representative/)** *(2024 · 133 citations)* LLM alignment depends on human feedback, yet most existing preference datasets offer only binary comparisons, draw on narrow crowdworker pools and record little about who the raters are. 2. **[CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data](https://md.research.elamur.ai/free/en/papers/suarez-2026-commonlid-re-evaluating-state-art/)** *(2026 · 3 citations)* Language identification (LID) is often treated as a solved task. In practice, it remains unreliable for many languages on noisy, mixed web text, which is the main source of multilingual pre-training corpora. Most existing benchmarks, such as FLORES, UDHR and Bible data, are clean, translated or religious, so they… ## All works 5 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. **[Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora ↗](https://aclanthology.org/2023.conll-babylm.1/) Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning · no summary yet**Alex Warstadt et al.*2023 · 232 citations* 2. **[The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models](https://md.research.elamur.ai/free/en/papers/kirk-2024-prism-alignment-dataset-participatory-representative/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hannah Rose Kirk, Alexander Whitefield, Paul Rottger, et al.*2024 · 133 citations* 3. **[The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties ↗](https://doi.org/10.21437/interspeech.2025-1013) Interspeech (USB) · no summary yet**William C. Chen et al.*2025 · 4 citations* 4. **[CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data](https://md.research.elamur.ai/free/en/papers/suarez-2026-commonlid-re-evaluating-state-art/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pedro Ortiz Suarez, Laurie Burchell, Catherine Arnett, et al.*2026 · 3 citations* 5. **[Overview of the Shared Task on Machine Translation Gender Bias Evaluation with Multilingual Holistic Bias ↗](https://aclanthology.org/2024.gebnlp-1.26/) Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP) · no summary yet**Marta R. Costa-jussà et al.*2024 · 1 citation* ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Adina Williams](https://md.research.elamur.ai/free/en/authors/adina-williams/) - [Atnafu Lambebo Tonja](https://md.research.elamur.ai/free/en/authors/atnafu-lambebo-tonja/) - [Bertie Vidgen](https://md.research.elamur.ai/free/en/authors/bertie-vidgen/) - [Catherine Arnett](https://md.research.elamur.ai/free/en/authors/catherine-arnett/) - [Hannah Rose Kirk](https://md.research.elamur.ai/free/en/authors/hannah-rose-kirk/) - [He He](https://md.research.elamur.ai/free/en/authors/he-he/) - [Idris Abdulmumin](https://md.research.elamur.ai/free/en/authors/idris-abdulmumin/) - [Katerina Margatina](https://md.research.elamur.ai/free/en/authors/katerina-margatina/) - [Laurie Burchell](https://md.research.elamur.ai/free/en/authors/laurie-burchell/) - [Malte Ostendorff](https://md.research.elamur.ai/free/en/authors/malte-ostendorff/) - [Max Bartolo](https://md.research.elamur.ai/free/en/authors/max-bartolo/) - [Paul Rottger](https://md.research.elamur.ai/free/en/authors/paul-rottger/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) - Interspeech (USB) - Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP) - Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning ## Cited by Papers of our library cite their works 281 times (of the 149,439 papers whose bibliographies we read); [77 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/rafael-mosquera/cited-by/). Updated 2 November 2026