Alejandro Hernández-Cano
Alejandro Hernández-Cano has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining; often with Angelika Romanou, Alexander Hägele, Amirkeivan Mohtashami.
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📄 2 works in our library · 🔗 Cited 241 times in our library · ⭐ Paper Stars ranking: #3836
Concepts, shelves and topics
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksHealth Informatics · 1 workMedicine · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
Works by year
2020s
20261 paperApertus: Democratizing Open and Compliant LLMs for Global Language Environments20231 paperMEDITRON-70B: Scaling Medical Pretraining for Large Language Models
Papers
- MEDITRON-70B: Scaling Medical Pretraining for Large Language Models (2023 · 311 citations)
Open medical LLMs have been either small (13B parameters or fewer) or, at larger scale, adapted only through instruction tuning or parameter-efficient methods. - Apertus: Democratizing Open and Compliant LLMs for Global Language Environments (2026 · 67 citations)
Most "open" LLMs release only their weights. Their training data stays undisclosed, may ignore content owners' rights, and is heavily skewed toward English and a few high-resource languages. Apertus responds with a fully open suite of 8B and 70B models, both base and Instruct. Pretraining used 15T tokens drawn only…
Co-authors here
- Angelika Romanou ×2
- Alexander Hägele
- Amirkeivan Mohtashami
- Andreas Kopf
- Bettina Messmer
- Matteo Pagliardini
- Mete Ismayilzada
- Zeming Chen
Venues
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