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20132026
most citedInforming clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes

27 citations · 95 across the 53 of their papers we have counts for

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6 papers · 1 filter

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.IR2026

From "Strings" to "Things" for Personal Knowledge Graphs: Evaluating LLM Triple Extraction for Recommendation Systems

Abhirup Dasgupta, Fernando Spadea, Oshani Seneviratne

Personal Knowledge Graphs (PKGs) offer a privacy-preserving framework for modeling user preferences, yet constructing them from unstructured, decentralized conversational data rema…

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

Avoiding Over-Personalization with Rule-Guided Knowledge Graph Adaptation for LLM Recommendations

Fernando Spadea, Oshani Seneviratne

We present a lightweight neuro-symbolic framework to mitigate over-personalization in LLM-based recommender systems by adapting user-side Knowledge Graphs (KGs) at inference time.…

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…