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Raphael Gontijo Lopes

Raphael Gontijo Lopes has 2 papers in our library, in 2022, most of them on Language models & pretraining; often with Aitor Lewkowycz, Ali Farhadi, Ari S. Morcos.

2 papers in our library · 2022

OpenAlex · h-index 11 · 13 works · 1,706 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 520 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #3851

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

🏢GoogleMountain View · United States2019–2022 · 6 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20222 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time (2022 · 507 citations)
    When fine-tuning a large pre-trained network, the usual practice is to run a hyperparameter sweep, keep the single run that does best on held-out validation data, and throw the others away.
  2. Language Model Cascades (2022 · 89 citations)
    The paper addresses how to reason about the many ad hoc ways large language models are chained or repeatedly queried.

All works

6 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. Robust fine-tuning of zero-shot models ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMitchell Wortsman et al.2022 · 519 citations
  2. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timearXiv:2203.05482Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 507 citations
  3. Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation ↗Lecture notes in computer science · no summary yetLiang-Chieh Chen et al.2020 · 161 citations
  4. End-to-end Audio Visual Scene-aware Dialog Using Multimodal Attention-based Video Features ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetChiori Hori et al.2019 · 128 citations
  5. Language Model CascadesarXiv:2207.10342David Dohan, Winnie Xu, Aitor Lewkowycz, et al.2022 · 89 citations
  6. Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7 ↗arXiv (Cornell University) · no summary yetHuda Alamri et al.2018 · 28 citations

 Co-authors here

12 of 18 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 520 times (of the 149,439 papers whose bibliographies we read); 105 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/raphael-gontijo-lopes/