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Issam Laradji

Issam Laradji has 2 papers in our library, in 2022–2024, most of them on Language models & pretraining, Dialogue systems; often with Gaurav Sahu, Christopher Pal, Dzmitry Bahdanau.

2 papers in our library · 2022–2024

OpenAlex · ORCID · h-index 22 · 89 works · 2,307 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 159 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #6219

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

🏢ServiceNowSanta Clara · United States2021–2026 · 26 paperscurrent🎓University of British ColumbiaVancouver · Canada2015–2025 · 22 papers🎓McGill UniversityMontreal · Canada2020–2025 · 13 papers🎓Concordia UniversityMontreal · Canada2018–2020 · 5 papers🎓King Fahd University of Petroleum and MineralsDhahran · Saudi Arabia2013–2014 · 4 papers🔬Mila - Quebec Artificial Intelligence InstituteMontreal · Canada2020–2023 · 2 papers🎓University of WaterlooWaterloo · Canada2022–2023 · 2 papers🎓James Cook UniversityTownsville · Australia2020–2021 · 2 papers🎓Université de MontréalMontreal · Canada2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksDecision Sciences · 1 workInformation Systems · 1 workStatistics, Probability and Uncertainty · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksDialogue systems · 1 work

 Works by year

2020s

20241 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Data Augmentation for Intent Classification with Off-the-shelf Large Language Models (2022 · 132 citations)
    Building intent classifiers for task-oriented chatbots requires labelled utterances, which are expensive to collect.
  2. LitLLMs, LLMs for Literature Review: Are we there yet? (2024 · 16 citations)
    The paper asks whether current LLMs can help researchers draft the related-work section of a paper, starting from only an abstract or a short description of an idea.

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. Kubric: A scalable dataset generator ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKlaus Greff et al.2022 · 248 citations
  2. Data Augmentation for Intent Classification with Off-the-shelf Large Language ModelsWorkshop on Natural Language Processing for Conversational AIGaurav Sahu, Pau Rodriguez, Issam Laradji, et al.2022 · 132 citations
  3. LitLLM: A Toolkit for Scientific Literature Review ↗arXiv:2402.01788 · no summary yetShubham Agarwal et al.2024 · 45 citations
  4. PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetGaurav Sahu et al.2023 · 28 citations
  5. LitLLMs, LLMs for Literature Review: Are we there yet?arXiv:2412.15249Shubham Agarwal, Gaurav Sahu, Abhay Puri, et al.2024 · 16 citations

 Co-authors here

6 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 159 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

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