---
title: "Animesh Garg — author profile and papers — Elamur Research"
description: "Animesh Garg, Georgia Institute of Technology: 2 papers on Elamur Research (2022–2025), h-index 42 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/animesh-garg/"
---
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# Animesh Garg

Animesh Garg has 2 papers in our library, in 2022–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Carl Vondrick](https://md.research.elamur.ai/free/en/authors/carl-vondrick/), [Dieter Fox](https://md.research.elamur.ai/free/en/authors/dieter-fox/), [Fei Sha](https://md.research.elamur.ai/free/en/authors/fei-sha/).

2 papers in our library · 2022–2025

[OpenAlex](https://openalex.org/A5061193324) · [ORCID](https://orcid.org/0000-0003-0482-4296) · [**h-index 42**](https://openalex.org/authors/A5061193324) · [169 works](https://openalex.org/works?filter=author.id:A5061193324) · [6,461 citations](https://openalex.org/works?filter=author.id:A5061193324&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/animesh-garg/#papers) · [🔗 Cited 435 times in our library](https://md.research.elamur.ai/free/en/authors/animesh-garg/cited-by/) · [16 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3337](https://md.research.elamur.ai/free/en/paper-stars/page/34/#star-3337)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Animesh+Garg) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Animesh+Garg) · [dblp](https://dblp.org/search?q=Animesh+Garg) · [ACL Anthology](https://aclanthology.org/search/?q=Animesh+Garg)

## Affiliations

[🎓**Georgia Institute of Technology** Atlanta · United States 2023–2026 · 25 papersEmployment since 2024 · Assistant Professor, College of Computing, Interactive Computing*current*](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**University of Toronto** Toronto · Canada 2019–2025 · 80 papersEmployment 2019–2023 · Assistant Professor, Computer Science](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) · [🔬**Vector Institute** Toronto · Canada 2019–2024 · 52 papers](https://md.research.elamur.ai/free/en/labs/vector-institute/) · [🏢**Nvidia** Santa Clara · United States 2018–2025 · 35 papersEmployment 2018–2024 · Senior Research Scientist, Nvidia Research](https://md.research.elamur.ai/free/en/companies/nvidia/) · [🏢**Nvidia** Reading · United Kingdom 2019–2025 · 24 papers](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) · [🎓**University of California, Berkeley** Berkeley · United States 2012–2020 · 16 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Stanford University** Stanford · United States 2017–2019 · 16 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Johns Hopkins University** Baltimore · United States 2012 · 2 papers](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**Netaji Subhas University of Technology** New Delhi · India 2011 · 2 papers](https://md.research.elamur.ai/free/en/universities/netaji-subhas-university-of-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 8 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Control and Systems Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [History and Philosophy of Science · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/animesh-garg/year/2025/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/animesh-garg/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[ProgPrompt: Generating Situated Robot Task Plans using Large Language Models](https://md.research.elamur.ai/free/en/papers/singh-2022-progprompt-generating-situated-robot-task/)** *(2022 · 735 citations)* ProgPrompt addresses a gap in using large language models for robot task planning. Existing approaches either rank every possible next step, which breaks down when the action space is combinatorial, or produce free text. That text must then be matched to robot actions and may refer to objects the scene does not…
2. **[Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025](https://md.research.elamur.ai/free/en/papers/thakkar-2025-llm-feedback-enhance-review/)** *(2025 · 21 citations)* Submissions to AI conferences are growing fast. ICLR grew 47% in 2024 and 61% in 2025. This strains reviewers and leaves authors facing short, unsupported criticism. To address this, the authors built Review Feedback Agent, a pipeline of five Claude Sonnet 3.5 instances: two Actors, an Aggregator, a Critic and a…

## All works

18 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. [**ProgPrompt: Generating Situated Robot Task Plans using Large Language Models arXiv:2209.11302**Ishika Singh, Valts Blukis, Arsalan Mousavian, et al.*2022 · 735 citations*](https://md.research.elamur.ai/free/en/papers/singh-2022-progprompt-generating-situated-robot-task/)
2. **[X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval ↗](https://doi.org/10.1109/cvpr52688.2022.00495) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Satya Krishna Gorti et al.*2022 · 249 citations*
3. **[Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0 ↗](https://doi.org/10.1109/icra57147.2024.10611477) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Abby O'Neill et al.*2024 · 231 citations*
4. **[Open X-Embodiment: Robotic Learning Datasets and RT-X Models ↗](https://arxiv.org/abs/2310.08864) arXiv:2310.08864 · no summary yet**Embodiment Collaboration et al.*2023 · 204 citations*
5. **[Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration ↗](https://doi.org/10.1109/cvpr.2019.00876) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**De-An Huang et al.*2019 · 124 citations*
6. **[RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation ↗](https://arxiv.org/abs/1811.02790) arXiv (Cornell University) · no summary yet**Ajay Mandlekar et al.*2018 · 77 citations*
7. **[TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning ↗](https://doi.org/10.1109/icra.2016.7487607) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Adithyavairavan Murali et al.*2016 · 70 citations*
8. **[Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning ↗](https://arxiv.org/abs/2511.04831) arXiv:2511.04831 · no summary yet**NVIDIA: Mayank Mittal et al.*2025 · 40 citations*
9. **[Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation ↗](https://arxiv.org/abs/1910.13395) arXiv (Cornell University) · no summary yet**Kuan Fang et al.*2019 · 30 citations*
10. **[Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion ↗](https://arxiv.org/abs/2009.10019) arXiv (Cornell University) · no summary yet**Xingye Da et al.*2020 · 27 citations*
11. [**Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025 arXiv:2504.09737**Nitya Thakkar, Mert Yuksekgonul, Jake Silberg, et al.*2025 · 21 citations*](https://md.research.elamur.ai/free/en/papers/thakkar-2025-llm-feedback-enhance-review/)
12. **[Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision ↗](https://arxiv.org/abs/1806.09266) arXiv (Cornell University) · no summary yet**Kuan Fang et al.*2018 · 20 citations*
13. **[Experience Replay with Likelihood-free Importance Weights ↗](https://arxiv.org/abs/2006.13169) arXiv (Cornell University) · no summary yet**Samarth Sinha et al.*2020 · 16 citations*
14. **[Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition ↗](https://arxiv.org/abs/2105.08692) arXiv (Cornell University) · no summary yet**Bo Liu et al.*2021 · 12 citations*
15. **[Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ↗](https://arxiv.org/abs/2106.00136) arXiv (Cornell University) · no summary yet**Anuj Mahajan et al.*2021 · 5 citations*
16. **[OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation ↗](https://arxiv.org/abs/2008.07087) arXiv (Cornell University) · no summary yet**Hongyu Ren et al.*2020 · 2 citations*
17. **[Reinforcement Learning in Factored Action Spaces using Tensor Decompositions ↗](https://arxiv.org/abs/2110.14538) CaltechAUTHORS (California Institute of Technology) · no summary yet**Anuj Mahajan et al.*2021 · 1 citation*
18. **[Learning Representations for Unsupervised Skill Discovery ↗](https://doi.org/10.25740/sb108vw6601) Stanford Digital Repository · no summary yet**Adeniji, Ademiloluwa et al.*2024*

## Co-authors here

9 co-authors with a page, the most papers together first.

- [Carl Vondrick](https://md.research.elamur.ai/free/en/authors/carl-vondrick/)
- [Dieter Fox](https://md.research.elamur.ai/free/en/authors/dieter-fox/)
- [Fei Sha](https://md.research.elamur.ai/free/en/authors/fei-sha/)
- [James Zou](https://md.research.elamur.ai/free/en/authors/james-zou/)
- [Jesse Thomason](https://md.research.elamur.ai/free/en/authors/jesse-thomason/)
- [Mert Yuksekgonul](https://md.research.elamur.ai/free/en/authors/mert-yuksekgonul/)
- [Nanyun Peng](https://md.research.elamur.ai/free/en/authors/nanyun-peng/)
- [Nitya Thakkar](https://md.research.elamur.ai/free/en/authors/nitya-thakkar/)
- [Rose Yu](https://md.research.elamur.ai/free/en/authors/rose-yu/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2
- Proceedings - IEEE International Conference on Robotics and Automation/Proceedings ×2
- CaltechAUTHORS (California Institute of Technology)
- Stanford Digital Repository

## Cited by

Papers of our library cite their works 435 times (of the 149,439 papers whose bibliographies we read); [73 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/animesh-garg/cited-by/).

Updated 3 November 2026