8 papers
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…
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,…
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…
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…
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…
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…