Papers by Husrev Taha Sencar
TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text (2025.findings-acl)
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| Challenge: | Existing methods for identifying adversarial techniques in security texts face a trade-off: generic models with limited domain precision or resource-intensive pipelines. |
| Approach: | They propose a domain-specific retrieval-augmented generation framework that integrates off-the-shelf retrievers, instruction-tuned LLMs, and minimal text–technique pairs. |
| Outcome: | The proposed framework improves retrieval quality and domain specificity without extensive optimizations. |
FanarGuard: A Culturally-Aware Moderation Filter for Arabic Language Models (2026.eacl-long)
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| Challenge: | Current content moderation filters focus on general safety and ignore cultural context . authors: FanarGuard improves accuracy and provides a practical step toward context-sensitive safeguards. |
| Approach: | They propose a bilingual moderation filter that evaluates both safety and cultural alignment in Arabic and English. |
| Outcome: | The proposed moderation filter performs better with human annotations than state-of-the-art filters on safety benchmarks. |
GREENER: Graph Neural Networks for News Media Profiling (2022.emnlp-main)
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| Challenge: | a new method for profiling news media on the Web addresses the factuality of reporting and bias problem . a recent study has focused on text features but has focused primarily on text . |
| Approach: | They propose a model that models the similarity between media outlets based on their audience overlap . they propose GREENER, which builds a graph of inter-media connections based upon audience overlap. |
| Outcome: | The proposed model improves on state-of-the-art models on two datasets. |