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20212025
most citedInvestigating Online Financial Misinformation and Its Consequences: A Computational Perspective

8 citations · 34 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CL2025★ 2 cited

Olmo 3

Team Olmo, :, Allyson Ettinger +66

We introduce Olmo 3, a family of state-of-the-art, fully-open language models at the 7B and 32B parameter scales. Olmo 3 model construction targets long-context reasoning, function…

cs.CL2025★ 3 cited

olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models

Jake Poznanski, Aman Rangapur, Jon Borchardt +6

PDF documents have the potential to provide trillions of novel, high-quality tokens for training language models. However, these documents come in a diversity of types with differi…

cs.CL2025★ 2 cited

2 OLMo 2 Furious

Team OLMo, Pete Walsh, Luca Soldaini +40

We present OLMo 2, the next generation of our fully open language models. OLMo 2 includes a family of dense autoregressive language models at 7B, 13B and 32B scales with fully rele…

cs.CL2024

Piecing It All Together: Verifying Multi-Hop Multimodal Claims

Haoran Wang, Aman Rangapur, Xiongxiao Xu +4

Existing claim verification datasets often do not require systems to perform complex reasoning or effectively interpret multimodal evidence. To address this, we introduce a new tas…

cs.CL2024★ 5 cited

The Battle of LLMs: A Comparative Study in Conversational QA Tasks

Aryan Rangapur, Aman Rangapur

Large language models have gained considerable interest for their impressive performance on various tasks. Within this domain, ChatGPT and GPT-4, developed by OpenAI, and the Gemin…

cs.CY2023★ 8 cited

Investigating Online Financial Misinformation and Its Consequences: A Computational Perspective

Aman Rangapur, Haoran Wang, Kai Shu

The rapid dissemination of information through digital platforms has revolutionized the way we access and consume news and information, particularly in the realm of finance. Howeve…

cs.AI2023★ 2 cited

Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation

Aman Rangapur, Haoran Wang, Ling Jian +1

Fact-checking in financial domain is under explored, and there is a shortage of quality dataset in this domain. In this paper, we propose Fin-Fact, a benchmark dataset for multimod…

cs.CL2023★ 2 cited

ChatGPT-Crawler: Find out if ChatGPT really knows what it's talking about

Aman Rangapur, Haoran Wang

Large language models have gained considerable interest for their impressive performance on various tasks. Among these models, ChatGPT developed by OpenAI has become extremely popu…

cs.CR2022★ 7 cited

DDoSDet: An approach to Detect DDoS attacks using Neural Networks

Aman Rangapur, Tarun Kanakam, Ajith Jubilson

Cyber-attacks have been one of the deadliest attacks in today's world. One of them is DDoS (Distributed Denial of Services). It is a cyber-attack in which the attacker attacks and…

cs.CR2021★ 3 cited

Phish-Defence: Phishing Detection Using Deep Recurrent Neural Networks

Aman Rangapur, Tarun Kanakam, Dhanvanthini P

In the growing world of the internet, the number of ways to obtain crucial data such as passwords and login credentials, as well as sensitive personal information has expanded. Pag…