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cs.CY2026
Structuring Transparency: Developing Domain-Specific Generative AI Declaration Frameworks in Higher Education
Nicholas Micallef, Olga Petrovska
As Generative AI (GenAI) disrupts higher education, institutions increasingly require students to declare AI use. However, generic, binary declarations (e.g., "I used GenAI") fail…
cs.CL2026
SwanNLP at SemEval-2026 Task 5: An LLM-based Framework for Plausibility Scoring in Narrative Word Sense Disambiguation
Deshan Sumanathilaka, Nicholas Micallef, Julian Hough +1
Recent advances in language models have substantially improved Natural Language Understanding (NLU). Although widely used benchmarks suggest that Large Language Models (LLMs) can e…
cs.CL2026
An Exploration-Analysis-Disambiguation Reasoning Framework for Word Sense Disambiguation with Low-Parameter LLMs
Deshan Sumanathilaka, Nicholas Micallef, Julian Hough
Word Sense Disambiguation (WSD) remains a key challenge in Natural Language Processing (NLP), especially when dealing with rare or domain-specific senses that are often misinterpre…