activity
20192026
most citedDeciphering Crypto Twitter

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

collaborators

11 papers

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.AI2026

Towards Automated Ontology Generation from Unstructured Text: A Multi-Agent LLM Approach

Abid Talukder, Maruf Ahmed Mridul, Oshani Seneviratne

Automatically generating formal ontologies from unstructured natural language remains a central challenge in knowledge engineering. While large language models (LLMs) show promise,…

cs.AI2026

A Benchmark for Gap and Overlap Analysis as a Test of KG Task Readiness

Maruf Ahmed Mridul, Rohit Kapa, Oshani Seneviratne

Task-oriented evaluation of knowledge graph (KG) quality increasingly asks whether an ontology-based representation can answer the competency questions that users actually care abo…

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.LG2025

Curriculum-Guided Reinforcement Learning for Synthesizing Gas-Efficient Financial Derivatives Contracts

Maruf Ahmed Mridul, Oshani Seneviratne

Smart contract-based automation of financial derivatives offers substantial efficiency gains, but its real-world adoption is constrained by the complexity of translating financial…

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.CE2024★ 2 cited

Smart Contracts, Smarter Payments: Innovating Cross Border Payments and Reporting Transactions

Maruf Ahmed Mridul, Kaiyang Chang, Aparna Gupta +1

The global financial landscape is experiencing significant transformation driven by technological advancements and evolving market dynamics. Moreover, blockchain technology has bec…

cs.CE2024★ 3 cited

Deciphering Crypto Twitter

Inwon Kang, Maruf Ahmed Mridul, Abraham Sanders +4

Cryptocurrency is a fast-moving space, with a continuous influx of new projects every year. However, an increasing number of incidents in the space, such as hacks and security brea…

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…