About Me

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

I have a strong track record of training deep learning models, curating high-quality datasets, and contributing to pioneering machine learning research. My work emphasizes advancing methodologies, enhancing efficiency, and fostering impactful results, reflecting my commitment to innovation and excellence in the field.

My strong programming skills and emphasis on innovation enable me to develop and deploy learning-enabled systems effectively.

I love exploring new adventures, collecting artifacts, playing sports, writing novels and watching 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 Generative AI (Image, Video, Text, Audio, 2.5D, 3D, 4D).
2. Enhancing Misinformation Detection and Fact-Checking.
3. Investigating Adversarial Vulnerabilities in ML Models.

Experience

Recent Publications

Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation.
Aman Rangapur, Haoran Wang, Kai Shu.
COLING(Submission Under Review).
[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