---
title: "Megh Thakkar — author profile and papers — Elamur Research"
description: "Megh Thakkar, Université de Montréal: 2 papers on Elamur Research (2022–2024), h-index 6 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/megh-thakkar/"
---
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# Megh Thakkar

Megh Thakkar has 2 papers in our library, in 2022–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Ahmed Masry](https://md.research.elamur.ai/free/en/authors/ahmed-masry/), [Enamul Hoque](https://md.research.elamur.ai/free/en/authors/enamul-hoque/), [Shafiq Joty](https://md.research.elamur.ai/free/en/authors/shafiq-joty/).

2 papers in our library · 2022–2024

[OpenAlex](https://openalex.org/A5045032553) · [ORCID](https://orcid.org/0009-0004-8224-622X) · [**h-index 6**](https://openalex.org/authors/A5045032553) · [27 works](https://openalex.org/works?filter=author.id:A5045032553) · [171 citations](https://openalex.org/works?filter=author.id:A5045032553&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/megh-thakkar/#papers) · [🔗 Cited 111 times in our library](https://md.research.elamur.ai/free/en/authors/megh-thakkar/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6798](https://md.research.elamur.ai/free/en/paper-stars/page/68/#star-6798)

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

## Affiliations

[🎓**Université de Montréal** Montreal · Canada 2024–2025 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/universite-de-montreal/) · [🎓**École de Technologie Supérieure** Montreal · Canada 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/ecole-de-technologie-superieure/) · [🎓**Birla Institute of Technology and Science, Pilani** Pilāni · India 2021–2023 · 9 papers](https://md.research.elamur.ai/free/en/universities/birla-institute-of-technology-and-science-pilani/) · [🔬**Mila - Quebec Artificial Intelligence Institute** Montreal · Canada 2022–2025 · 8 papers](https://md.research.elamur.ai/free/en/labs/mila-quebec-artificial-intelligence-institute/) · [🎓**Georgia Institute of Technology** Atlanta · United States 2021–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**Nanyang Technological University** Singapore · Singapore 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 5 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/megh-thakkar/year/2024/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/megh-thakkar/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Chart-to-Text: A Large-Scale Benchmark for Chart Summarization](https://md.research.elamur.ai/free/en/papers/kantharaj-2022-chart-text-large-scale-benchmark/)** *(2022 · 163 citations)* The paper addresses automatic chart summarization: producing natural-language text that explains the main takeaways of a chart.
2. **[ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild](https://md.research.elamur.ai/free/en/papers/masry-2024-chartgemma-visual-instruction-tuning-chart/)** *(2024 · 32 citations)* Most chart-understanding models learn from instruction data built from a chart's underlying data table. That approach discards visual cues such as trends, annotations and layout. These models also often use vision-language backbones whose image and text parts are only loosely aligned. ChartGemma addresses both…

## All works

4 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. **[Chart-to-Text: A Large-Scale Benchmark for Chart Summarization](https://md.research.elamur.ai/free/en/papers/kantharaj-2022-chart-text-large-scale-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shankar Kantharaj, Rixie Tiffany Leong, Xiang Lin, et al.*2022 · 163 citations*
2. [**ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild arXiv:2407.04172**Ahmed Masry, Megh Thakkar, Aayush Bajaj, et al.*2024 · 32 citations*](https://md.research.elamur.ai/free/en/papers/masry-2024-chartgemma-visual-instruction-tuning-chart/)
3. **[HypMix: Hyperbolic Interpolative Data Augmentation ↗](https://aclanthology.org/2021.emnlp-main.776/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ramit Sawhney et al.*2021 · 10 citations*
4. **[DMix: Adaptive Distance-aware Interpolative Mixup ↗](https://aclanthology.org/2022.acl-short.67/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Ramit Sawhney et al.*2022 · 9 citations*

## Co-authors here

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

- [Ahmed Masry](https://md.research.elamur.ai/free/en/authors/ahmed-masry/) ×2
- [Enamul Hoque](https://md.research.elamur.ai/free/en/authors/enamul-hoque/) ×2
- [Shafiq Joty](https://md.research.elamur.ai/free/en/authors/shafiq-joty/) ×2
- [Xiang Lin](https://md.research.elamur.ai/free/en/authors/xiang-lin/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2022](https://md.research.elamur.ai/free/en/venues/acl/2022/)
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

## Cited by

Papers of our library cite their works 111 times (of the 149,439 papers whose bibliographies we read); [28 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/megh-thakkar/cited-by/).

Updated 3 November 2026
