As machine learning systems are increasingly deployed on large-scale data, the demand for interpretable and scalable explanation methods has become critical. Existing Explainable AI techniques, particularly for clustering, often struggle with scalability and generalization beyond small, single-node environments. This p...
A novel knowledge graph (KG) based evaluation framework for LLM contextual understanding in QA is proposed and central to this is Semantic Structural Similarity for KGs (S3KG), a hybrid similarity measure combining structural and semantic signals into a single score.
Subavarshana Arumugam, Mamta Nallaretnam, K. Wickramasinghe et al.· 0 citations
EnSiTa is presented, a trilingual multi-domain parallel dataset and benchmark for English, Sinhala and Tamil, and is the most extensive systematically documented multi-domain parallel data creation and benchmarking effort for low-resource MT.
Surangika Ranathunga, Nisansa de Silva, Aloka Fernando et al.· 1 citation· ⚡1
A novel knowledge graph-based evaluation framework is proposed introducing Semantic Structural Similarity for KGs (S3KG), a hybrid similarity measure integrating structural and semantic similarity into a continuous evaluation score, alongside a diagnostic framework for categorizing reasoning errors.
Subavarshana Arumugam, Mamta Nallaretnam, K. Wickramasinghe et al.· 0 citations
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