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20192026
most citedDeciphering Crypto Twitter

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

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cs.IR2026

GrOIL: Graph-Grounded Domain Ontology Induction with Constrained LLM Mediation

Maruf Ahmed Mridul, Abid Talukder, Oshani Seneviratne

Constructing formal ontologies from domain documents requires simultaneously enforcing corpus grounding, vocabulary consistency, axiom-level expressivity, and end-to-end provenance…

cs.IR2025

Resource-Efficient LLM Application for Structured Transformation of Unstructured Financial Contracts

Maruf Ahmed Mridul, Oshani Seneviratne

The transformation of unstructured legal contracts into standardized, machine-readable formats is essential for automating financial workflows. The Common Domain Model (CDM) provid…

cs.IR2025

AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts

Maruf Ahmed Mridul, Ian Sloyan, Aparna Gupta +1

Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) are reshaping how AI systems extract and organize information from unstructured text. A key challenge is desig…

cs.IR2025

Terminators: Terms of Service Parsing and Auditing Agents

Maruf Ahmed Mridul, Inwon Kang, Oshani Seneviratne

Terms of Service (ToS) documents are often lengthy and written in complex legal language, making them difficult for users to read and understand. To address this challenge, we prop…

cs.IR2021★ 3 cited

Presenting a Larger Up-to-date Movie Dataset and Investigating the Effects of Pre-released Attributes on Gross Revenue

Arnab Sen Sharma, Tirtha Roy, Sadique Ahmmod Rifat +1

Movie-making has become one of the most costly and risky endeavors in the entertainment industry. Continuous change in the preference of the audience makes it harder to predict wha…

cs.IR2019

Automatic Detection of Satire in Bangla Documents: A CNN Approach Based on Hybrid Feature Extraction Model

Arnab Sen Sharma, Maruf Ahmed Mridul, Md Saiful Islam

Widespread of satirical news in online communities is an ongoing trend. The nature of satires is so inherently ambiguous that sometimes it's too hard even for humans to understand…