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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.

2 papers in our library · 2023–2026

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📄 2 works in our library · 🔗 Cited 241 times in our library · ⭐ Paper Stars ranking: #3836

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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

8 co-authors with a page, the most papers together first.

Venues

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

 Cited by

Papers of our library cite their works 241 times (of the 141,840 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated

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