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Yonatan Bitton

Yonatan Bitton has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Alon Jacovi, Bernd Bohnet, Jack Hessel.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 13 · 63 works · 506 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 509 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #5135

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 States2023–2026 · 13 papers🎓Hebrew University of JerusalemJerusalem · Israel2020–2024 · 11 papersEducation since 2020 · The Rachel and Selim Benin School of Engineering and Computer Science

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 5The 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 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 1 workVision & language · 1 workEvaluation & benchmarks · 1 workReasoning · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models (2023 · 222 citations)
    Strong autoregressive vision-language models like DeepMind's Flamingo accept mixed sequences of images and text, which allows in-context learning from a few demonstrations.
  2. A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains (2024 · 54 citations)
    Language models often reach answers through Chain-of-Thought (CoT) reasoning, but a correct final answer can hide flawed intermediate steps.

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. DataComp: In search of the next generation of multimodal datasets ↗arXiv:2304.14108 · no summary yetSamir Yitzhak Gadre et al.2023 · 224 citations
  2. OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language ModelsarXiv:2308.01390Anas Awadalla, Irena Gao, Josh Gardner, et al.2023 · 222 citations
  3. A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning ChainsAnnual Meeting of the Association for Computational Linguistics (ACL)Alon Jacovi, Yonatan Bitton, Bernd Bohnet, et al.2024 · 54 citations
  4. ImageInWords: Unlocking Hyper-Detailed Image Descriptions ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetRoopal Garg et al.2024 · 30 citations
  5. WinoGAViL: Gamified Association Benchmark to Challenge Vision-And-Language Models ↗neural information processing systems · no summary yetYonatan Bitton et al.2022 · 16 citations

 Co-authors here

12 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 509 times (of the 149,439 papers whose bibliographies we read); 99 citing papers with a page here →.

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