Pruning and re-ranking the frequent patterns in knowledge graph profiling using machine learning. - Gollam Rabby; Farhana Keya; Vojtech Svátek; Blerina Spahiu (LDK, 2023)

Leveraging LLMs for Scientific Abstract Summarization: Unearthing the Essence of Research in a Single Sentence. - Farhana Keya; Mohamad Yaser Jaradeh; Sören Auer (JCDL, 2024)

MC-NEST - Enhancing Mathematical Reasoning in Large Language Models with a Monte Carlo Nash Equilibrium Self-Refine Tree. - Gollam Rabby; Farhana Keya; Parvez Zamil; Sören Auer (CoRR, 2024)

SCI-IDEA: Context-Aware Scientific Ideation Using Token and Sentence Embeddings. - Farhana Keya; Gollam Rabby; Prasenjit Mitra; Sahar Vahdati; Sören Auer; Mohamad Yaser Jaradeh (CoRR, 2025)