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Antonio Orvieto

Antonio Orvieto has 2 papers in our library, in 2023–2026, most of them on Code & programming languages; often with Albert Gu, Caglar Gulcehre, Razvan Pascanu.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 9 · 79 works · 321 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 77 times in our library · ⭐ Paper Stars ranking: #7563

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

 Affiliations

🎓ETH ZurichZurich · Switzerland2018–2026 · 23 paperscurrent🔬ELLIS Institute TübingenTübingen · Germany2023–2026 · 22 paperscurrent🔬Max Planck Institute for Intelligent SystemsStuttgart · Germany2024–2026 · 9 paperscurrent🏛️Bernstein Center for Computational Neuroscience TübingenTübingen · Germany2024–2026 · 5 paperscurrent🎓University of TübingenTübingen · Germany2024–2026 · 5 paperscurrent🔬Max Planck Institute for BiologyTübingen · Germany2024–2026 · 2 paperscurrent🎓Tübingen AI CenterTübingen · Germany2023–2025 · 5 papers🎓École Polytechnique Fédérale de LausanneLausanne · Switzerland2020–2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.Code & programming languages · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Resurrecting Recurrent Neural Networks for Long Sequences (2023 · 118 citations)
    Classic RNNs are cheap at inference on long inputs, but they train slowly and suffer from vanishing or exploding gradients.
  2. GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities (2026 · 2 citations)
    Code-generating LLMs are often asked to write code for a fixed, sometimes older, library release. Existing benchmarks mostly test migration to newer or unseen versions, or score outputs by string matching. GitChameleon 2.0 targets version-conditioned generation (VCG), where the model must write correct code for a…

 Co-authors here

6 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 77 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated

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