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Gaurav Sahu

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

2 papers in our library · 2022–2024

OpenAlex · ORCID · h-index 8 · 32 works · 256 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 93 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6217

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

🎓University of WaterlooWaterloo · Canada2018–2025 · 28 papersEducation 2018–2020 · MMath (CS), Computer Sciencecurrent🏢ServiceNowSanta Clara · United States2022–2025 · 7 paperscurrent🎓HEC MontréalMontreal · Canada2025 · 1 papercurrent🔬Mila - Quebec Artificial Intelligence InstituteMontreal · Canada2023–2025 · 2 papersEmployment since 2025 · Postdoctoral Fellow

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 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

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. 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
  2. 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
  3. 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 93 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated

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