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Eran Yahav

Eran Yahav has 2 papers in our library, in 2018, most of them on Machine translation; often with Gail Weiss, Omer Levy, Uri Alon.

2 papers in our library · 2018

OpenAlex · ORCID · Wikidata · h-index 48 · 219 works · 8,424 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 291 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #4954

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

🎓Technion – Israel Institute of TechnologyHaifa · Israel2011–2024 · 107 papersEducationEmployment since 2020 · Professor, Computer Science🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States2005–2010 · 29 papers🏢IBMArmonk · United States2004–2011 · 27 papers🎓Tel Aviv UniversityTel Aviv · Israel2001–2006 · 13 papers

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 3The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 1 workComputational Theory and Mathematics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Machine translation · 1 work

 Works by year

2010s

20182 papers

 Papers

The most cited first (OpenAlex and our library).

  1. On the Practical Computational Power of Finite Precision RNNs for Language Recognition (2018 · 313 citations)
    Classic proofs that RNNs are Turing complete depend on unlimited state precision and unbounded computation time, which do not match how RNNs are used in NLP.
  2. code2seq: Generating Sequences from Structured Representations of Code (2018 · 72 citations)
    The paper addresses the automatic generation of a text sequence from a code snippet. Examples include generating a method name or a short natural-language description of the code. Earlier state-of-the-art approaches took machine translation models (seq2seq, NMT) and represented code as a flat sequence of tokens. The…

All works

8 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. code2vec: Learning Distributed Representations of Code ↗arXiv:1803.09473 · no summary yetUri Alon et al.2018 · 1,280 citations
  2. On the Practical Computational Power of Finite Precision RNNs for Language RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Gail Weiss, Yoav Goldberg, Eran Yahav2018 · 313 citations
  3. A General Path-Based Representation for Predicting Program Properties ↗arXiv:1803.09544 · no summary yetUri Alon et al.2018 · 89 citations
  4. A Formal Hierarchy of RNN Architectures ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetWilliam Merrill et al.2020 · 82 citations
  5. code2seq: Generating Sequences from Structured Representations of CodearXiv:1808.01400Uri Alon, Shaked Brody, Omer Levy, et al.2018 · 72 citations
  6. Structural Language Models of Code ↗arXiv:1910.00577 · no summary yetUri Alon et al.2019 · 55 citations
  7. Structural Language Models for Any-Code Generation. ↗arXiv (Cornell University) · no summary yetUri Alon et al.2019 · 10 citations
  8. Last Translation Benchmark ↗arXiv:2609.04173 · no summary yetVilem Zouhar et al.2026

 Co-authors here

4 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 291 times (of the 149,439 papers whose bibliographies we read); 43 citing papers with a page here →.

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