19 citations · 45 across the 9 of their papers we have counts for
9 papers · 1 filter
Bilingual Word Level Language Identification for Omotic Languages
Mesay Gemeda Yigezu, Girma Yohannis Bade, Atnafu Lambebo Tonja +3
Language identification is the task of determining the languages for a given text. In many real world scenarios, text may contain more than one language, particularly in multilingu…
Explainable AI: XAI-Guided Context-Aware Data Augmentation
Melkamu Abay Mersha, Mesay Gemeda Yigezu, Atnafu Lambebo Tonja +4
Explainable AI (XAI) has emerged as a powerful tool for improving the performance of AI models, going beyond providing model transparency and interpretability. The scarcity of labe…
A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs
Melkamu Abay Mersha, Mesay Gemeda Yigezu, Hassan Shakil +3
The increasing complexity of LLMs presents significant challenges to their transparency and interpretability, necessitating the use of eXplainable AI (XAI) techniques to enhance tr…
Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models
Melkamu Abay Mersha, Mesay Gemeda Yigezu, Jugal Kalita
The black-box nature of large language models (LLMs) necessitates the development of eXplainable AI (XAI) techniques for transparency and trustworthiness. However, evaluating these…
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI
Mesay Gemeda Yigezu, Melkamu Abay Mersha, Girma Yohannis Bade +3
The proliferation of fake news has emerged as a significant threat to the integrity of information dissemination, particularly on social media platforms. Misinformation can spread…
Semantic-Driven Topic Modeling Using Transformer-Based Embeddings and Clustering Algorithms
Melkamu Abay Mersha, Mesay Gemeda yigezu, Jugal Kalita
Topic modeling is a powerful technique to discover hidden topics and patterns within a collection of documents without prior knowledge. Traditional topic modeling and clustering-ba…