A Flexible Keyphrase Extraction Technique for Academic Literature. - Gollam Rabby; Saiful Azad; Mufti Mahmud; Kamal Z. Zamli; Mohammed Mostafizur Rahman 001 (ICCSCI, 2018)

Ontologies Supporting Research-Related Information Foraging Using Knowledge Graphs: Literature Survey and Holistic Model Mapping. - Viet Bach Nguyen; Vojtech Svátek; Gollam Rabby; Óscar Corcho (EKAW, 2020)

OReCaP - Towards Ontology Reuse via Focused Categorization Power. - Viet Bach Nguyen; Vojtech Svátek; Gollam Rabby; Ondrej Zamazal (ISWC (Demos/Industry), 2020)

TeKET: a Tree-Based Unsupervised Keyphrase Extraction Technique. - Gollam Rabby; Saiful Azad; Mufti Mahmud; Kamal Z. Zamli; Mohammed Mostafizur Rahman 001 (Cogn. Comput., 2020)

Augmenting a COVID-19 Research Knowledge Graph with Influential Papers Prediction. - Gollam Rabby; Vojtech Svátek; Petr Berka (SEMANTiCS (Posters & Demos), 2022)

Why was this cited? Explainable machine learning applied to COVID-19 research literature. - Lucie Beranová; Marcin P. Joachimiak; Tomás Kliegr; Gollam Rabby; Vilém Sklenák (Scientometrics, 2022)

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

Multi-class classification of COVID-19 documents using machine learning algorithms. - Gollam Rabby; Petr Berka (J. Intell. Inf. Syst., 2023)

Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph. - Gollam Rabby; Jennifer D'Souza 001; Allard Oelen; Lucie Dvorackova; Vojtech Svátek; Sören Auer (J. Biomed. Semant., 2023)

Leveraging GPT Models For Semantic Table Annotation. - Jean Petit Bikim; Carick Appolinaire Atezong Ymele; Azanzi Jiomekong; Allard Oelen; Gollam Rabby; Jennifer D'Souza 001; Sören Auer (SemTab@ISWC, 2024)

Fine-tuning and Prompt Engineering with Cognitive Knowledge Graphs for Scholarly Knowledge Organization. - Gollam Rabby; Sören Auer; Jennifer D'Souza 001; Allard Oelen (CoRR, 2024)

NeuroSym-BioCAT: Leveraging Neuro-Symbolic Methods for Biomedical Scholarly Document Categorization and Question Answering. - Parvez Zamil; Gollam Rabby; Md. Sadekur Rahman; Sören Auer (CoRR, 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)

SelfCheckAgent: Zero-Resource Hallucination Detection in Generative Large Language Models. - Diyana Muhammed; Gollam Rabby; Sören Auer (CoRR, 2025)

Project Alexandria: Towards Freeing Scientific Knowledge from Copyright Burdens via LLMs. - Christoph Schuhmann; Gollam Rabby; Ameya Prabhu; Tawsif Ahmed; Andreas Hochlehnert; Huu Nguyen; Nick Akinci Heidrich; Ludwig Schmidt; Robert Kaczmarczyk; Sören Auer; Jenia Jitsev; Matthias Bethge (CoRR, 2025)

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)

Iterative Hypothesis Generation for Scientific Discovery with Monte Carlo Nash Equilibrium Self-Refining Trees. - Gollam Rabby; Diyana Muhammed; Prasenjit Mitra; Sören Auer (CoRR, 2025)

EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition. - Christoph Schuhmann; Robert Kaczmarczyk; Gollam Rabby; Felix Friedrich; Maurice Kraus; Krishna Kalyan; Kourosh Nadi; Huu Nguyen; Kristian Kersting; Sören Auer (CoRR, 2025)

EmoNet-Voice: A Fine-Grained, Expert-Verified Benchmark for Speech Emotion Detection. - Christoph Schuhmann; Robert Kaczmarczyk; Gollam Rabby; Felix Friedrich; Maurice Kraus; Kourosh Nadi; Huu Nguyen; Kristian Kersting; Sören Auer (CoRR, 2025)

SLEEPING-DISCO 9M: A large-scale pre-training dataset for generative music modeling. - Tawsif Ahmed; Andrej Radonjic; Gollam Rabby (CoRR, 2025)