Aman Rangapur

Aman Rangapur



About Me

I am working as Solution Architect & LLM Community Manager at Ai2.

I train LLMs to be less clueless, craft high-quality datasets with a Michelin-star chef precision, and push the boundaries of research. In short, I make LLMs work smarter so we don't have to.

With good programming skills and a knack for innovation, I build models that actually do their job efficiently and (mostly) without complaints.

I'm all about adventure whether it's exploring new places, experimenting in the kitchen, playing sports, writing, or getting lost in movies.


Research Interests

Pioneering the fusion of NLP and Generative AI, I strive to solve complex challenges. My research zeroes in on three crucial areas:
1. Multimodal Generation.
2. Dataset Quality, Bias and Fact-Checking.
3. Adversarial Vulnerabilities.


Experience

  • Allen Institute for AI (Ai2)
      Solution Architect & LLM Community Manager, October 2024 - Present.

  • Data Mining Lab, Illinois Institute of Technology
      Machine Learning Research Associate, August 2024 - October 2024.
      Research Assistant, December 2022 - May 2024.
  • Clients served: IARPA, Cisco, U.S. National Science Foundation, CAOE.

  • ActualWise Consulting LLC
      Machine Learning Engineer Intern, January 2024 - May 2024.

  • Appyhub Technology Solutions
     Image Processing Engineer, October 2020 - April 2022.
  • Clients served: Dhana Inc.

  • Artificial Intelligence and Robotics Center, VIT-AP
     Research Assistant, August 2018 - May 2020.


  • Recent Research

    olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models
    Jake Poznanski, Aman Rangapur, Kyle Lo, Luca Soldaini
    COLM25(Submission Under Review).
    [Technical Paper], [GitHub], [Hugging Face], [Demo]

    2 OLMo 2 Furious
    Team OLMo
    [Technical Paper], [GitHub], [Hugging Face], [Blog]

    Piecing It All Together: Verifying Multi-Hop Multimodal Claims
    Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Kai Shu.
    COLING 2025.
    [Paper], [Website], [GitHub]

    Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation
    Aman Rangapur
    , Haoran Wang, Kai Shu.
    ACM Web Conference 2025.
    [Pre Print], [GitHub], [Hugging Face]

    Investigating Online Financial Misinformation and Its Consequences: A Computational Perspective
    Aman Rangapur
    , Haoran Wang, Kai Shu.
    ACM Computing Surveys(Submission Under Review).
    [Pre Print]

    EfficientWord-Net: An Open Source Hotword Detection Engine Based on Few-Shot Learning
    Aman Rangapur
    , Chidhambararajan R, S. Sibi Chakkaravarthy.
    Journal of Information & Knowledge Management.
    [Paper], [GitHub]


    Academic Service

    Sub-reviewer of AAAI 2024 conference.
    Sub-reviewer of NeurIPS 2023 conference.
    Reviewer of International Journal of Computing and Digital Systems 2023 conference.
    Volunteer for ACM FAccT Conference 2023.


    Fellowships & Awards

    Graduate Student Scholarship Illinois Institute of Technology
    Admission Merit Scholarship George Mason University
    Runner-up position Major League Hacking 2018