122 citations · 316 across the 22 of their papers we have counts for
23 papers
Artificial intelligence for context-aware visual change detection in software test automation
Milad Moradi, Ke Yan, David Colwell +1
Automated software testing is integral to the software development process, streamlining workflows and ensuring product reliability. Visual testing, particularly for user interface…
A critical review of methods and challenges in large language models
Milad Moradi, Ke Yan, David Colwell +2
This critical review provides an in-depth analysis of Large Language Models (LLMs), encompassing their foundational principles, diverse applications, and advanced training methodol…
Multi-level biomedical NER through multi-granularity embeddings and enhanced labeling
Fahime Shahrokh, Nasser Ghadiri, Rasoul Samani +1
Biomedical Named Entity Recognition (NER) is a fundamental task of Biomedical Natural Language Processing for extracting relevant information from biomedical texts, such as clinica…
Model-agnostic explainable artificial intelligence for object detection in image data
Milad Moradi, Ke Yan, David Colwell +2
In recent years, deep neural networks have been widely used for building high-performance Artificial Intelligence (AI) systems for computer vision applications. Object detection is…
ThoughtSource: A central hub for large language model reasoning data
Simon Ott, Konstantin Hebenstreit, Valentin Liévin +6
Large language models (LLMs) such as GPT-4 have recently demonstrated impressive results across a wide range of tasks. LLMs are still limited, however, in that they frequently fail…
A global analysis of metrics used for measuring performance in natural language processing
Kathrin Blagec, Georg Dorffner, Milad Moradi +2
Measuring the performance of natural language processing models is challenging. Traditionally used metrics, such as BLEU and ROUGE, originally devised for machine translation and s…