Papers by Utsav Shukla

2 papers
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.
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.

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