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Arjun Guha

Arjun Guha has 2 papers in our library, in 2022–2024, most of them on Code & programming languages; often with Federico Cassano, Carolyn Jane Anderson, Harm de Vries.

2 papers in our library · 2022–2024

OpenAlex · ORCID · Wikidata · h-index 32 · 107 works · 3,802 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 765 times in our library · 2 more in our library without a page yet · ⭐ 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

🎓Northeastern UniversityBoston · United States2017–2026 · 47 papersEmployment since 2020 · Associate Professor, Computer Sciencecurrent🎓University of Massachusetts AmherstAmherst Center · United States2012–2020 · 30 papersEmployment 2012–2020 · Associate Professor, Computer Science🎓Brown UniversityProvidence · United States2004–2015 · 11 papersEducation 2006–2012 · PhD, Computer Science🎓Cornell UniversityIthaca · United States2012–2013 · 11 papersEmployment 2012–2013 · Postdoctoral Researcher, Computer Science
🏛️Roblox, Inc.San Mateo · United States2022–2025Employment 2022–2025 · Visiting Professor, Research
🎓Grinnell CollegeGrinnell · United States2006Education until 2006

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 worksComputer Science Applications · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 works

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

 Works by year

2020s

20241 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation (2022 · 88 citations)
    Code generation models are trained on many programming languages but are usually tested only on Python. This leaves open how well they work for developers using other languages. MultiPL-E addresses this by converting Python benchmarks based on unit tests into other languages. It does not translate whole programs.…
  2. SelfCodeAlign: Self-Alignment for Code Generation (2024 · 32 citations)
    Instruction-tuning code LLMs usually depends on expensive human-written data or on outputs from proprietary models, whose terms may forbid such use.

All works

4 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. StarCoder: may the source be with you! ↗arXiv:2305.06161 · no summary yetRaymond Li et al.2023 · 732 citations
  2. MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code GenerationarXiv:2208.08227Federico Cassano, John Gouwar, Daniel Nguyen, et al.2022 · 88 citations
  3. Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code ↗arXiv:1901.09056 · no summary yetAbhinav Jangda et al.2019 · 78 citations
  4. SelfCodeAlign: Self-Alignment for Code GenerationConference on Neural Information Processing Systems (NeurIPS)Yuxiang Wei, Federico Cassano, Jiawei Liu, et al.2024 · 32 citations

 Co-authors here

8 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 765 times (of the 149,439 papers whose bibliographies we read); 170 citing papers with a page here →.

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