2 citations · 4 across the 9 of their papers we have counts for
9 papers
An Agentic RAG and Evaluation Framework for Assurance Case Generation: Industrial Use Case for the EU Cyber Resilience Act Compliance
Fariz Ikhwantri, Iker Lasa Ojanguren, Dusica Marijan +3
Complying with the EU Cyber Resilience Act (CRA) is a resource-intensive challenge for SMEs due to the complexity of cybersecurity conformity assessment. Yet, it is essential for d…
Disentangling Homophily and Rarity: Explaining Failure in Graph Neural Networks
Preben M. Ness, Fariz Ikhwantri, Dusica Marijan
Are heterophilic nodes in a graph harder to classify because they are heterophilic or because they are rare? Some existing work frames classification of such nodes as a subgroup ge…
Evaluating Assurance Cases as Text-Attributed Graphs for Structure and Provenance Analysis
Fariz Ikhwantri, Dusica Marijan
An assurance case is a structured argument document that justifies claims about a system's requirements or properties, which are supported by evidence. In regulated domains, these…
Cross-Domain Data Selection and Augmentation for Automatic Compliance Detection
Fariz Ikhwantri, Dusica Marijan
Automating the detection of regulatory compliance remains a challenging task due to the complexity and variability of legal texts. Models trained on one regulation often fail to ge…
Explainable Compliance Detection with Multi-Hop Natural Language Inference on Assurance Case Structure
Fariz Ikhwantri, Dusica Marijan
Ensuring complex systems meet regulations typically requires checking the validity of assurance cases through a claim-argument-evidence framework. Some challenges in this process i…
WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines
Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan +48
Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts. To evaluate th…
Cross-Lingual Transfer for Distantly Supervised and Low-resources Indonesian NER
Fariz Ikhwantri
Manually annotated corpora for low-resource languages are usually small in quantity (gold), or large but distantly supervised (silver). Inspired by recent progress of injecting pre…
Pretrained language model transfer on neural named entity recognition in Indonesian conversational texts
Rezka Leonandya, Fariz Ikhwantri
Named entity recognition (NER) is an important task in NLP, which is all the more challenging in conversational domain with their noisy facets. Moreover, conversational texts are o…
Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus
Fariz Ikhwantri, Samuel Louvan, Kemal Kurniawan +4
Most Semantic Role Labeling (SRL) approaches are supervised methods which require a significant amount of annotated corpus, and the annotation requires linguistic expertise. In thi…