---
title: "Rameswar Panda — author profile and papers in our library"
description: "Rameswar Panda, IBM: 2 papers on Elamur Research (2024), h-index 29 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/rameswar-panda/"
---
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# Rameswar Panda

Rameswar Panda has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Aniruddha Nrusimha](https://md.research.elamur.ai/free/en/authors/aniruddha-nrusimha/), [Hannaneh Hajishirzi](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/), [Hao Peng](https://md.research.elamur.ai/free/en/authors/hao-peng/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5049734237) · [ORCID](https://orcid.org/0000-0003-4359-2475) · [**h-index 29**](https://openalex.org/authors/A5049734237) · [131 works](https://openalex.org/works?filter=author.id:A5049734237) · [4,834 citations](https://openalex.org/works?filter=author.id:A5049734237&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/rameswar-panda/#papers) · [🔗 Cited 539 times in our library](https://md.research.elamur.ai/free/en/authors/rameswar-panda/cited-by/) · [15 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7189](https://md.research.elamur.ai/free/en/paper-stars/page/72/#star-7189)

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=Rameswar+Panda) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Rameswar+Panda) · [dblp](https://dblp.org/search?q=Rameswar+Panda) · [ACL Anthology](https://aclanthology.org/search/?q=Rameswar+Panda)

## Affiliations

[🏢**IBM** Armonk · United States 2019–2026 · 69 papers*current*](https://md.research.elamur.ai/free/en/companies/ibm/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2019–2026 · 22 papers*current*](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**University of California, Riverside** Riverside · United States 2015–2021 · 37 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-riverside/) · [🎓**Jadavpur University** Kolkata · India 2012–2017 · 5 papers](https://md.research.elamur.ai/free/en/universities/jadavpur-university/) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) · [🎓**Riverside City College** Riverside · United States 2017–2018 · 2 papers](https://ror.org/03x6axv89)

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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/rameswar-panda/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Data Engineering for Scaling Language Models to 128K Context](https://md.research.elamur.ai/free/en/papers/fu-2024-data-engineering-scaling-language-models/)** *(2024 · 109 citations)* Open-source LLMs that claim support for 100K+ tokens often fail the Needle-in-a-Haystack test, which checks whether a model can recall a fact hidden anywhere in a very long document.
2. **[Reducing Transformer Key-Value Cache Size with Cross-Layer Attention](https://md.research.elamur.ai/free/en/papers/brandon-2024-reducing-transformer-key-value-cache/)** *(2024 · 57 citations)* When large language models generate text autoregressively, they store keys and values (the KV cache) for every token and layer.

## All works

17 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. **[CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification ↗](https://doi.org/10.1109/iccv48922.2021.00041) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Chun-Fu Richard Chen, Quanfu Fan, Rameswar Panda*2021 · 2,131 citations*
2. **[CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning ↗](https://doi.org/10.1109/cvpr52729.2023.01146) 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**James Seale Smith et al.*2023 · 352 citations*
3. **[Gated Linear Attention Transformers with Hardware-Efficient Training ↗](https://arxiv.org/abs/2312.06635) arXiv:2312.06635 · no summary yet**Songlin Yang et al.*2023 · 138 citations*
4. [**Data Engineering for Scaling Language Models to 128K Context arXiv:2402.10171**Yao Fu, Rameswar Panda, Xinyao Niu, et al.*2024 · 109 citations*](https://md.research.elamur.ai/free/en/papers/fu-2024-data-engineering-scaling-language-models/)
5. **[Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos ↗](https://doi.org/10.1109/iccv48922.2021.00791) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Brian Chen et al.*2021 · 78 citations*
6. **[Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning ↗](https://arxiv.org/abs/2303.02861) arXiv (Cornell University) · no summary yet**Zhen Wang et al.*2023 · 77 citations*
7. **[Collaborative Summarization of Topic-Related Videos ↗](https://doi.org/10.1109/cvpr.2017.455) 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**Rameswar Panda, Amit K. Roy–Chowdhury*2017 · 72 citations*
8. **[AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition ↗](https://doi.org/10.1109/iccv48922.2021.00748) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Rameswar Panda et al.*2021 · 60 citations*
9. **[VALHALLA: Visual Hallucination for Machine Translation ↗](https://doi.org/10.1109/cvpr52688.2022.00515) 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**Yi Li et al.*2022 · 58 citations*
10. **[Reducing Transformer Key-Value Cache Size with Cross-Layer Attention](https://md.research.elamur.ai/free/en/papers/brandon-2024-reducing-transformer-key-value-cache/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**William Brandon, Mayank Mishra, Aniruddha Nrusimha, et al.*2024 · 57 citations*
11. **[LangNav: Language as a Perceptual Representation for Navigation ↗](https://aclanthology.org/2024.findings-naacl.60/) Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yet**Bowen Pan et al.*2024 · 32 citations*
12. **[Learning to Grow Pretrained Models for Efficient Transformer Training ↗](https://arxiv.org/abs/2303.00980) arXiv (Cornell University) · no summary yet**Peihao Wang et al.*2023 · 28 citations*
13. **[ConStruct-VL: Data-Free Continual Structured VL Concepts Learning* ↗](https://doi.org/10.1109/cvpr52729.2023.01440) 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**James Seale Smith et al.*2023 · 18 citations*
14. **[Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models ↗](https://arxiv.org/abs/2404.05567) arXiv:2404.05567 · no summary yet**Bowen Pan et al.*2024 · 14 citations*
15. **[Diversity Measurement and Subset Selection for Instruction Tuning Datasets ↗](https://arxiv.org/abs/2402.02318) arXiv (Cornell University) · no summary yet**Peiqi Wang et al.*2024 · 10 citations*
16. **[Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization ↗](https://arxiv.org/abs/2404.03605) arXiv:2404.03605 · no summary yet**Aniruddha Nrusimha et al.*2024 · 6 citations*
17. **[FlashFormer: Whole-Model Kernels for Efficient Low-Batch Inference ↗](https://arxiv.org/abs/2505.22758) arXiv (Cornell University) · no summary yet**Aniruddha Nrusimha et al.*2025 · 3 citations*

## Co-authors here

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

- [Aniruddha Nrusimha](https://md.research.elamur.ai/free/en/authors/aniruddha-nrusimha/)
- [Hannaneh Hajishirzi](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/)
- [Hao Peng](https://md.research.elamur.ai/free/en/authors/hao-peng/)
- [Mayank Mishra](https://md.research.elamur.ai/free/en/authors/mayank-mishra/)
- [William Brandon](https://md.research.elamur.ai/free/en/authors/william-brandon/)
- [Xiang Yue](https://md.research.elamur.ai/free/en/authors/xiang-yue/)
- [Xinyao Niu](https://md.research.elamur.ai/free/en/authors/xinyao-niu/)
- [Yao Fu](https://md.research.elamur.ai/free/en/authors/yao-fu/)
- [Yoon Kim](https://md.research.elamur.ai/free/en/authors/yoon-kim/)

## 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 ×4
- IEEE/CVF International Conference on Computer Vision (ICCV) ×3
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)
- Findings of the Association for Computational Linguistics: NAACL 2024

## Cited by

Papers of our library cite their works 539 times (of the 149,439 papers whose bibliographies we read); [118 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/rameswar-panda/cited-by/).

Updated 3 November 2026