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Found 7 papers, 1 papers with code
A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs
The increasing complexity of LLMs presents significant challenges to their transparency and interpretability, necessitating the use of eXplainable AI (XAI) techniques to enhance trustworthiness and usability.
Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models
Our findings show that the model simplification-based XAI method (LIME) consistently outperforms across multiple metrics and models, significantly excelling in HA with a score of 0. 9685 on DeBERTa-xlarge, robustness, and consistency as the complexity of large language models increases.
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI
Assessment of the outcomes of the experiments shows that the ensemble learning approach has the highest accuracy, achieving a 0. 99 F1 score.
Semantic-Driven Topic Modeling Using Transformer-Based Embeddings and Clustering Algorithms
It leverages contextual semantic information to extract coherent and meaningful topics.
EthioLLM: Multilingual Large Language Models for Ethiopian Languages with Task Evaluation
We open-source our multilingual language models, new benchmark datasets for various downstream tasks, and task-specific fine-tuned language models and discuss the performance of the models.
MasakhaNEWS: News Topic Classification for African languages
Furthermore, we explore several alternatives to full fine-tuning of language models that are better suited for zero-shot and few-shot learning such as cross-lingual parameter-efficient fine-tuning (like MAD-X), pattern exploiting training (PET), prompting language models (like ChatGPT), and prompt-free sentence transformer fine-tuning (SetFit and Cohere Embedding API).
Transformer-based Model for Word Level Language Identification in Code-mixed Kannada-English Texts
Using code-mixed data in natural language processing (NLP) research currently gets a lot of attention.
