---
title: "Rajiv Jain · Adobe Systems — author profile and papers"
description: "Rajiv Jain, Adobe Systems: 2 papers on Elamur Research (2026), h-index 27 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/rajiv-jain/"
---
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# Rajiv Jain

Rajiv Jain has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Changyou Chen](https://md.research.elamur.ai/free/en/authors/changyou-chen/), [Jihyung Kil](https://md.research.elamur.ai/free/en/authors/jihyung-kil/), [Jiuxiang Gu](https://md.research.elamur.ai/free/en/authors/jiuxiang-gu/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5031169949) · [ORCID](https://orcid.org/0000-0002-5322-9074) · [**h-index 27**](https://openalex.org/authors/A5031169949) · [91 works](https://openalex.org/works?filter=author.id:A5031169949) · [2,082 citations](https://openalex.org/works?filter=author.id:A5031169949&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/rajiv-jain/#papers) · [🔗 Cited 58 times in our library](https://md.research.elamur.ai/free/en/authors/rajiv-jain/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12585](https://md.research.elamur.ai/free/en/paper-stars/page/126/#star-12585)

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

## Affiliations

[🏢**Adobe Systems** San Jose · United States 2019–2026 · 28 papers*current*](https://md.research.elamur.ai/free/en/companies/adobe-systems/) · [🎓**University of Wisconsin–Madison** Madison · United States 1991–2003 · 27 papers](https://md.research.elamur.ai/free/en/universities/university-of-wisconsin-madison/) · [🎓**University of Maryland, College Park** College Park · United States 2011–2021 · 9 papers](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/) · [🎓**University of Southern California** Los Angeles · United States 1985–2003 · 6 papers](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) · [🎓**Texas A&M University** College Station · United States 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/texas-a-m-university/) · [🎓**University of California, Berkeley** Berkeley · United States 1988–2003 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🏢**Hewlett-Packard** Palo Alto · United States 1996 · 2 papers](https://md.research.elamur.ai/free/en/companies/hewlett-packard/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

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

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/rajiv-jain/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[OpenExempt: A Diagnostic Benchmark for Legal Reasoning and a Framework for Creating Custom Benchmarks on Demand](https://md.research.elamur.ai/free/en/papers/servantez-2026-openexempt-diagnostic-benchmark-legal-reasoning/)** *(2026 · 2 citations)* Static legal question-answer benchmarks are costly to annotate. They also reduce model behaviour to one accuracy number, which makes it hard to tell which reasoning skill actually failed. OpenExempt tackles this with a generator built on U.S. Bankruptcy Code (Title 11) asset-exemption law. Legal experts encoded…
2. **[Unveiling Inherent Visual Grounding in Multimodal LLMs for Text-Rich Images](https://md.research.elamur.ai/free/en/papers/zhou-2026-unveiling-inherent-visual-grounding-multimodal/)** *(2026)* The paper addresses visual text grounding for text-rich images such as infographics, charts and forms. The goal is to localize the possibly scattered image regions that support the answer to a document question. Existing MLLM approaches either match embeddings, which works poorly when only the question is given, or…

## 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. **[Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models ↗](https://aclanthology.org/2021.naacl-main.71/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Mengnan Du et al.*2021 · 120 citations*
2. **[OpenExempt: A Diagnostic Benchmark for Legal Reasoning and a Framework for Creating Custom Benchmarks on Demand](https://md.research.elamur.ai/free/en/papers/servantez-2026-openexempt-diagnostic-benchmark-legal-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sergio Servantez, Sarah B. Lawsky, Rajiv Jain, et al.*2026 · 2 citations*
3. **[Unveiling Inherent Visual Grounding in Multimodal LLMs for Text-Rich Images](https://md.research.elamur.ai/free/en/papers/zhou-2026-unveiling-inherent-visual-grounding-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shijie Zhou, Jihyung Kil, Ming Li, et al.*2026*

## Co-authors here

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

- [Changyou Chen](https://md.research.elamur.ai/free/en/authors/changyou-chen/)
- [Jihyung Kil](https://md.research.elamur.ai/free/en/authors/jihyung-kil/)
- [Jiuxiang Gu](https://md.research.elamur.ai/free/en/authors/jiuxiang-gu/)
- [Kristian J Hammond](https://md.research.elamur.ai/free/en/authors/kristian-j-hammond/)
- [Ming Li](https://md.research.elamur.ai/free/en/authors/ming-li/)
- [Ruiyi Zhang](https://md.research.elamur.ai/free/en/authors/ruiyi-zhang/)
- [Sarah B. Lawsky](https://md.research.elamur.ai/free/en/authors/sarah-b-lawsky/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2
- Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

## Cited by

Papers of our library cite their works 58 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/rajiv-jain/cited-by/).

Updated 2 November 2026
