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Aman Rangapur

Aman Rangapur has 2 papers in our library, in 2025, most of them on Vision & language, Language models & pretraining, Reasoning; often with Carl Yang, Haoran Wang, Jake Poznanski.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 5 · 14 works · 58 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 432 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7749

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

🎓Illinois Institute of TechnologyChicago · United States2022–2025 · 6 papersEducation 2022–2024 · Masters, Computer Sciencecurrent🔬Allen Institute for Artificial IntelligenceSeattle · United States2024–2025 · 2 papersEmployment since 2024 · Solution Architectcurrent🎓VIT-AP UniversityGuntur2021–2022 · 3 papers🎓Vellore Institute of Technology UniversityVellore · India2018–2022Education 2018–2022 · Undergraduate, Computer Science

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 1 workSociology and Political Science · 1 work

🧭 Topics 3Research subjects and languages the work is about.Vision & language · 2 worksLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models (2025 · 44 citations)
    PDFs hold a vast amount of high-quality text that could serve as training data for language models. They are hard to use because the format records glyphs and their positions rather than logical structure or reading order. Open-source extractors tend to produce noisy output, and strong proprietary VLMs are expensive…
  2. Piecing It All Together: Verifying Multi-Hop Multimodal Claims (2025 · 8 citations)
    The paper addresses a gap in fact-checking research. Existing benchmarks either handle multimodal claims or multi-step textual reasoning, but none require both together. The authors define a new task, multi-hop multimodal claim verification. A system must combine several pieces of evidence from text, images and…

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. 2 OLMo 2 Furious ↗arXiv:2501.00656 · no summary yetTeam OLMo et al.2025 · 262 citations
  2. olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language ModelsarXiv:2502.18443Jake Poznanski, Aman Rangapur, Jon Borchardt, et al.2025 · 44 citations
  3. Piecing It All Together: Verifying Multi-Hop Multimodal ClaimsInternational Conference on Computational Linguistics (COLING)Haoran Wang, Aman Rangapur, Xiongxiao Xu, et al.2025 · 8 citations

 Co-authors here

7 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 432 times (of the 149,439 papers whose bibliographies we read); 104 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/aman-rangapur/