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Gaurav Mishra

Gaurav Mishra has 2 papers in our library, in 2022, most of them on Language models & pretraining; often with Adam Roberts, Hyung Won Chung, Sharan Narang.

2 papers in our library · 2022

OpenAlex · ORCID · h-index 12 · 63 works · 5,124 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 9,492 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #724

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

🎓Shri Ramswaroop Memorial College of Engineering and ManagementLucknow2019–2026 · 2 paperscurrent🎓Amity UniversityNoida · India2013–2025 · 17 papersEducation until 2023 · Doctor of Philosophy in Mathematics, Applied SciencesEmployment since 2013 · Assistant professor, Mathematics🎓Dr. A.P.J. Abdul Kalam Technical UniversityLucknow · India2019–2025 · 2 papers🏢GoogleMountain View · United States2022 · 2 papers
🏛️Satya College of Engineering and TechnologyFaridabad · India2009–2013Employment 2009–2013 · Assistant Professor, Mathematics
🏛️Skyline Institute of Engineering and TechnologyGreater Noida · India2006–2009Employment 2006–2009 · Lecturer, Mathematics
🎓Dr. Bhimrao Ambedkar UniversityAgra · India1999–2006Education 1999–2002 · B.Sc., Physics, Chemistry, MathematicsEducation 2003–2006 · Intg. M.Sc. (Math and Computer Science), Mathematics
🏛️S R K Inter CollegeFirozabad · India1997–1999Education 1997–1999 · Higher Scondary, PCM

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

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

💡 Concepts 3Key ideas and methods explained on our concept pages.Few-shot learning · 1 workLanguage model · 1 workLarge language models · 1 work

 Works by year

2020s

20222 papers

 Papers

The most cited first (OpenAlex and our library).

  1. PaLM: Scaling Language Modeling with Pathways (2022 · 4,753 citations)
    This paper asks whether making a dense Transformer language model much larger still improves few-shot learning, where a model solves a task from a short prompt and a few examples instead of being finetuned.
  2. Scaling Up Models and Data with t5x and seqio (2022 · 130 citations)
    Training language models with hundreds of billions of parameters usually requires custom, hand-tuned infrastructure. That slows down experimentation and makes fair comparisons between models difficult. This paper presents two open-source Google libraries meant to lower that barrier.

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. PaLM: Scaling Language Modeling with PathwaysarXiv:2204.02311Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,753 citations
  2. Scaling Instruction-Finetuned Language Models ↗arXiv:2210.11416 · no summary yetHyung Won Chung et al.2022 · 3,392 citations
  3. Scaling Up Models and Data with t5x and seqioarXiv:2203.17189Adam Roberts, Hyung Won Chung, Anselm Levskaya, et al.2022 · 130 citations

 Co-authors here

12 of 16 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 9,492 times (of the 149,439 papers whose bibliographies we read); 1,843 citing papers with a page here →.

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