1 citations · 3 across the 5 of their papers we have counts for
5 papers
Noise-Aware Visual Representation Learning for Medical Visual Question Answering
I Putu Adi Pratama, Bahadorreza Ofoghi, Atul Sajjanhar +1
Medical visual question answering (Med-VQA) has strong potential for clinical decision support by enabling AI models to interpret medical images and answer clinically relevant quer…
Contradictions in Context: Challenges for Retrieval-Augmented Generation in Healthcare
Saeedeh Javadi, Sara Mirabi, Manan Gangar +1
In high-stakes information domains such as healthcare, where large language models (LLMs) can produce hallucinations or misinformation, retrieval-augmented generation (RAG) has bee…
Synthetic Dialogue Dataset Generation using LLM Agents
Yelaman Abdullin, Diego Molla-Aliod, Bahadorreza Ofoghi +2
Linear programming (LP) problems are pervasive in real-life applications. However, despite their apparent simplicity, an untrained user may find it difficult to determine the linea…
PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora
Dinesh Nagumothu, Bahadorreza Ofoghi, Guangyan Huang +1
Supervised Question Answering systems (QA systems) rely on domain-specific human-labeled data for training. Unsupervised QA systems generate their own question-answer training pair…
A Knowledge Representation Approach to Automated Mathematical Modelling
Bahadorreza Ofoghi, Vicky Mak, John Yearwood
In this paper, we propose a new mixed-integer linear programming (MILP) model ontology and a novel constraint typology of MILP formulations. MILP is a commonly used mathematical pr…