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Abhishek Kadian

Abhishek Kadian has 2 papers in our library, in 2019–2024; often with Aaron Grattafiori, Alan Schelten, Angela Fan.

2 papers in our library · 2019–2024

OpenAlex · ORCID · h-index 9 · 11 works · 1,478 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 7,894 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #382

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

🏢MetaMenlo Park · United States2018–2025 · 5 papersEmployment since 2018current🏢MetaTel Aviv · Israel2019–2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 workEngineering · 1 workAerospace Engineering · 1 workAutomotive Engineering · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Large language models · 1 work

 Works by year

2020s

20241 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. The Llama 3 Herd of Models (2024 · 7,682 citations)
    The paper describes Llama 3, a family of foundation language models from Meta. Out of the box, they can work with multiple languages, write code, reason, and call external tools. The authors improved the models along three directions: more and cleaner data, larger scale, and simpler architecture and training.…
  2. Habitat: A Platform for Embodied AI Research (2019 · 1,313 citations)
    Embodied AI studies agents, such as virtual robots, that must perceive, move and act. Training them in the physical world is slow, risky, costly and hard to reproduce. Existing simulators were fragmented: each tied one task, one 3D dataset and a fixed agent design together, and most ran at only 10–100 fps.

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. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
  2. Habitat: A Platform for Embodied AI ResearchIEEE/CVF International Conference on Computer Vision (ICCV)Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, et al.2019 · 1,313 citations
  3. DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames ↗arXiv:1911.00357 · no summary yetErik Wijmans et al.2019 · 76 citations
  4. SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetDaniel Gordon et al.2019 · 63 citations
  5. Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack ↗arXiv (Cornell University) · no summary yetXiaoliang Dai et al.2023 · 62 citations

 Co-authors here

7 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 7,894 times (of the 149,439 papers whose bibliographies we read); 1,738 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/abhishek-kadian/