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Ishani Mondal

Ishani Mondal has 2 papers in our library, in 2026; often with Aparna Garimella, Jordan Boyd-Graber.

2 papers in our library · 2026

OpenAlex · h-index 9 · 69 works · 496 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 603 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11541

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

🎓University of Maryland, College ParkCollege Park · United States2023–2026 · 19 paperscurrent🎓Indian Institute of Technology KharagpurKharagpur · India2018–2023 · 10 papers🏢Microsoft ResearchBengaluru · India2020–2022 · 10 papers🏢MicrosoftRedmond · United States2021–2024 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Graphics and Computer-Aided Design · 1 workComputer Vision and Pattern Recognition · 1 workArtificial Intelligence · 1 workArts and Humanities · 1 workHistory and Philosophy of Science · 1 workLanguage and Linguistics · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. SMART-Editor: A Multi-Agent Framework for Human-Like Design Editing with Structural Integrity (2026 · 1 citation)
    Current multimodal models handle local edits to natural photos well. They struggle with structured visuals such as scientific posters and webpages, where one high-level request (for example, adding a section) forces changes across the whole layout. The authors call an edit "SMART" when it does four things:
  2. From Fluent to Useful: Generative AI That Models Purpose, Audience, and Presenter for Scientific Communication (2026)
    This doctoral proposal argues that current generative AI writes fluently but often produces scientific communication artifacts (slides, diagrams, posters, videos) that do not serve their actual goal.

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. Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetYizhong Wang et al.2022 · 849 citations
  2. SMART-Editor: A Multi-Agent Framework for Human-Like Design Editing with Structural IntegrityFindings of the Association for Computational LinguisticsIshani Mondal, Meera Bharadwaj, Ayush Roy, et al.2026 · 1 citation
  3. From Fluent to Useful: Generative AI That Models Purpose, Audience, and Presenter for Scientific CommunicationAnnual Meeting of the Association for Computational Linguistics (ACL)Ishani Mondal2026

 Co-authors here

2 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 603 times (of the 149,439 papers whose bibliographies we read); 146 citing papers with a page here →.

Updated

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