Author

Pragatheeswaran Vipulanandan

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#artificial intelligence Preprint Sep 2026

Do LLMs Understand Context? A Knowledge Graph-Based Evaluation Framework

While large language models (LLMs) have achieved remarkable linguistic capabilities, a profound question lingers at their core: do these models truly comprehend context or simply excel at pattern matching on an unprecedented scale? Contextual understanding in LLMs refers to the ability to correctly extract relevant inf...

Subavarshana Arumugam, Mamta Nallaretnam, K. Wickramasinghe et al. · 0 citations

#machine learning Preprint Sep 2026

Evaluation of Contextual Understanding in Large Language Models

Large Language Models (LLMs) demonstrate impressive performance across diverse NLP tasks, yet their ability to exhibit genuine contextual understanding remains uncertain. Traditional evaluation metrics such as perplexity, BiLingual Evaluation Understudy (BLEU), or surface-level accuracy fail to reveal how well LLMs ext...

Subavarshana Arumugam, Mamta Nallaretnam, K. Wickramasinghe et al. · 0 citations