<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Conference Paper</dc:product_type><dc:title>Parameter-Efficient VLMs for Gastrointestinal Endoscopy: Medical Image Generation and Clinical Visual Question Answering</dc:title><dc:creator>Ejiga_Peter, Ojonugwa Oluwafemi [Morgan State University,Computer Science Department,Baltimore,USA]; Akor_Ejiga, Frederick [International Organization for Migration (IOM),Geneva,Switzerland]; Khalifa, Fahmi [Morgan State University,Electrical &amp;#x0026; Computer Engineering Department,Baltimore,USA]; Rahman, Md Mahmudur [Morgan State University,Computer Science Department,Baltimore,USA]</dc:creator><dc:corporate_author/><dc:editor/><dc:description>Not Available</dc:description><dc:publisher>IEEE</dc:publisher><dc:date>2025-10-26</dc:date><dc:nsf_par_id>10671995</dc:nsf_par_id><dc:journal_name/><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation>1 to 7</dc:page_range_or_elocation><dc:issn/><dc:isbn/><dc:doi>https://doi.org/10.1109/BHI67747.2025.11269532</dc:doi><dcq:identifierAwardId>2131207</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>