RESEARCHER PROFILE

Vadivel Abishethvarman

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V

Sabaragamuwa University of Sri Lanka

Topic ModelingAdvanced Neural Network ApplicationsNatural Language Processing TechniquesSentiment Analysis and Opinion MiningAdversarial Robustness in Machine Learning

Vadivel Abishethvarman works in Topic Modeling, Advanced Neural Network Applications, Natural Language Processing Techniques, Sentiment Analysis and Opinion Mining, Adversarial Robustness in Machine Learning. Recorded institutional associations include Open University of Sri Lanka, Sabaragamuwa University of Sri Lanka.

19Publications
13Citations
2H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Survey on LLM Safety: Attacks, Defenses, Alignment, Metrics, and Guardrails

    2026 · 6 citations

  2. Unmasking Fake News with Emotional Cues: A Comparative Study of Sentiment Reasoning Models

    2024 · 2 citations

  3. Task-Specific Knowledge Distillation for Scalable Sentiment Classification in Low-Resource Settings

    2025 · 2 citations

  4. Task-Specific Knowledge Distillation for Accurate and Efficient Text Summarization

    2025 · 2 citations

  5. Unveiling Public Perception of ChatGPT Through Twitter Data and Machine Learning

    2023 · 1 citations

  6. XGUARD: A Graded Benchmark for Evaluating Safety Failures of Large Language Models on Extremist Content

    2026 · 0 citations

  7. TARNET: A Framework for Text-Aware Retrieval of Network Events Tracking Using Instruction-Tuned Language Models

    2026 · 0 citations

  8. Optimizing Task-Specific Knowledge Distillation for Dichotomous (Yes/No) Classification

    2026 · 0 citations

  9. Optimized Hybrid Prophet–Transformer–ESN Interpretable Framework for Solar Power Prediction with Statistical Model Validation

    2026 · 0 citations

  10. Subject-Wise Impact of VAK Learning Styles on Student Personalization Using Ensemble Learning

    2026 · 0 citations

  11. LIME-Enhanced Sentiment Classification for UI/UX Improvement in Sri Lankan Mobile Banking

    2026 · 0 citations

  12. RESimEnv

    2026 · 0 citations

  13. Possible Distillation for Abstractive Summarization: Reducing Hallucination in Compact LLMs

    2026 · 0 citations

  14. Multi-Layer Semantic Integrity Framework for Knowledge-Reliable and Consistent Responses in Large Language Models

    2026 · 0 citations

  15. Faster Than the Teacher, Smarter Than the Student: Classifying with Wisdom via Knowledge Distillation in LLMs

    2025 · 0 citations

  16. Predicting Social Media Addiction Using Machine Learning and Deep Learning: A Comprehensive Analysis Presentation Deck

    2026 · 0 citations

  17. Pelvic Fracture Detection in X-ray Images Using Pretrained Object Detection Models

    2025 · 0 citations

  18. Multi-Layer Semantic Integrity Framework (MLSIF): Evaluation Dataset and Results for Eight Open-Source LLMs

    2026 · 0 citations

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