1 citations · 3 across the 10 of their papers we have counts for
11 papers
Author Representation Strategies for Zero-Shot Authorship Attribution: A Comparative Study of LLM-Based and Embedding-Based Approaches
Nudrat Habib, Tosin Adewumi, Sana Sabah Al-Azzawi +2
Authorship Attribution (AA) requires capturing fine-grained stylistic characteristics, making it particularly challenging in zero-shot (ZS) settings where no task-specific supervis…
Mind the Gaps: A Curated Benchmark for Form Field Detection
Iheb Brini, Omar Moured, Hamza Gbada +1
Form Field Detection (FFD) is a fundamental component of document understanding systems, enabling applications ranging from large-scale industrial digitization to accessible form i…
Performance Gap Analysis between Latin and Arabic Scripts HTR
Sana Al-azzawi, Elisa Barney, Marcus Liwicki
Recent studies have shown that handwritten text recognition (HTR) systems perform worse on Arabic-script datasets than on Latin-script data. However, the reasons for this gap are s…
Cross-Lingual Learning within Arabic Script for Low-Resource HTR
Sana Al-azzawi, Elisa Barney, Marcus Liwicki
Handwritten Text Recognition (HTR) with limited labeled data remains a challenging problem, particularly for Arabic-script languages. Although modern sequence-based recognizers per…
Understanding Cross-Language Transfer Improvements in Low-Resource HTR: The Role of Sequence Modeling
Sana Al-azzawi, Chang Liu, Nudrat Habib +2
Handwritten Text Recognition (HTR) for Arabic-script languages benefits from cross-language joint training under low-resource conditions, particularly when using CRNN-based models…
A Human-in-the-Loop Label Error Detection Framework Applied to Arabic-Script HTR Datasets
Sana Al-azzawi, Elisa Barney, Marcus Liwicki
Despite recent advances, Handwritten Text Recognition (HTR) for Arabic-script languages still lags behind Latin-script HTR. Part of the problem is dataset quality. To help closing…
Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches
Nudrat Habib, Tosin Adewumi, Marcus Liwicki +1
Authorship analysis plays an important role in diverse domains, including forensic linguistics, academia, cybersecurity, and digital content authentication. This paper presents a s…
Data Bias According to Bipol: Men are Naturally Right and It is the Role of Women to Follow Their Lead
Irene Pagliai, Goya van Boven, Tosin Adewumi +4
We introduce new large labeled datasets on bias in 3 languages and show in experiments that bias exists in all 10 datasets of 5 languages evaluated, including benchmark datasets on…
On the Limitations of Large Language Models (LLMs): False Attribution
Tosin Adewumi, Nudrat Habib, Lama Alkhaled +1
In this work, we introduce a new hallucination metric - Simple Hallucination Index (SHI) and provide insight into one important limitation of the parametric knowledge of large lang…
Instruction Makes a Difference
Tosin Adewumi, Nudrat Habib, Lama Alkhaled +1
We introduce Instruction Document Visual Question Answering (iDocVQA) dataset and Large Language Document (LLaDoc) model, for training Language-Vision (LV) models for document anal…
ProCoT: Stimulating Critical Thinking and Writing of Students through Engagement with Large Language Models (LLMs)
Tosin Adewumi, Lama Alkhaled, Claudia Buck +5
We introduce a novel writing method called Probing Chain-of-Thought (ProCoT), which potentially prevents students from cheating using a Large Language Model (LLM), such as ChatGPT,…