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Michele Merler

Michele Merler has 2 papers in our library, in 2024, most of them on Language models & pretraining, Code & programming languages; often with Mayank Mishra, Parameswaran Selvam, Shivdeep Singh.

2 papers in our library · 2024

OpenAlex · ORCID · Wikidata · h-index 17 · 63 works · 1,097 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 69 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6618

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

🏢IBMArmonk · United States2013–2026 · 26 paperscurrent🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States2013–2026 · 17 paperscurrent🎓Columbia UniversityNew York · United States2007–2011 · 6 papersEducation 2007–2008 · Master of Science, Computer Science🎓University of TrentoTrento · Italy2001–2007 · 1 paperEducation 2001–2004 · Bachelor, Telecommunications EngineeringEducation 2004–2007 · Master of Engineering, Telecommunications Engineeing
🏛️IBM ResearchYorktown Heights · United States2012Employment since 2012 · Research Staff Member, AI

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

 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 worksInformation Systems · 2 worksLanguage and Linguistics · 2 worksSoftware · 1 work

🧭 Topics 2Research subjects and languages the work is about.Code & programming languages · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code (2024 · 156 citations)
    The paper asks how well large language models can convert programs from one programming language to another, and where they fail.
  2. Granite Code Models: A Family of Open Foundation Models for Code Intelligence (2024 · 54 citations)
    IBM Research addresses a gap in open code LLMs for enterprise use. Large general-purpose models are costly to run. Smaller code models tend to do well at generation but weaker at repair and explanation. Many open models also have unclear data provenance or restrictive licenses. The authors built Granite Code, a…

All works

3 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. Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating CodeIEEE/ACM International Conference on Software Engineering (ICSE)Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, et al.2024 · 156 citations
  2. Learning to Make Better Mistakes ↗ACM International Conference on Multimedia (ACM MM) · no summary yetHui Wu et al.2016 · 65 citations
  3. Granite Code Models: A Family of Open Foundation Models for Code IntelligencearXiv:2405.04324Mayank Mishra, Matt Stallone, Gaoyuan Zhang, et al.2024 · 54 citations

 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 69 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated

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