Findings indicate that integrating topic modeling– based thematic information with PLMs provides an effective, generalizable, and practical solution for biomedical MLTC tasks, and enriching general-purpose language models with topic information offers a promising alternative that reduces reliance on costly, data-intens...
This paper proposes ThemePath-RAG, a retrieval framework that retrieves curated thematic paths as high-recall semantic routes, expands candidate canonical evidence, and applies query-aware scoring and global pruning before generation.
Winda Monika, D. A. Dewi, A. Nasution et al.· Information· 1 citation
This study investigates response-only adversarial classification of LLM outputs through a comparative evaluation of lexical, contrastive, and contextual representations and provides a realistic benchmark for response-only adversarial detection and clarify the limits of contrastive representations when prompt informatio...
A. Nasution, Ahmet Emre Ergün, Aytu˘g Onan et al.· IEEE Access· 0 citations
This survey provides a comprehensive analysis of adversarial prompting strategies, ranging from input manipulation techniques to semantic and structural distortions, and explores defense strategies across preprocessing, model-level, postprocessing, and hybrid strategies, highlighting recent advances and their limitatio...
A. Nasution, Ahmet Emre Ergün, Aytu˘g Onan et al.· IEEE Access· 0 citations
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