26 citations · 47 across the 18 of their papers we have counts for
4 papers · 1 filter
Multi-Agent LLMs for Generating Research Limitations
Ibrahim Al Azher, Zhishuai Guo, Hamed Alhoori
Identifying and articulating limitations is essential for transparent and rigorous scientific research. However, zero-shot large language models (LLMs) approach often produce super…
Generation, Evaluation, and Explanation of Novelists' Styles with Single-Token Prompts
Mosab Rezaei, Mina Rajaei Moghadam, Abdul Rahman Shaikh +2
Recent advances in large language models have created new opportunities for stylometry, the study of writing styles and authorship. Two challenges, however, remain central: trainin…
LimTopic: LLM-based Topic Modeling and Text Summarization for Analyzing Scientific Articles limitations
Ibrahim Al Azhar, Venkata Devesh Reddy, Hamed Alhoori +1
The limitations sections of scientific articles play a crucial role in highlighting the boundaries and shortcomings of research, thereby guiding future studies and improving resear…
FutureGen: A RAG-based Approach to Generate the Future Work of Scientific Article
Ibrahim Al Azher, Miftahul Jannat Mokarrama, Zhishuai Guo +2
The Future Work section of a scientific article outlines potential research directions by identifying gaps and limitations of a current study. This section serves as a valuable res…