<?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 Proceeding</dc:product_type><dc:title>TinyGPT-MoE: Scaling Multi-modal Large Language Model via Advanced Vision Encoder with Mixture-of-Experts</dc:title><dc:creator>Yuan, Zhengqing; Wang, Yang; Li, Zhaoxu; Ye, Yanfang; Sun, Lichao</dc:creator><dc:corporate_author/><dc:editor/><dc:description/><dc:publisher>Workshop on Advancing Neural Network Training at International Conference on Machine Learning (WANT@ICML)</dc:publisher><dc:date>2024-07-21</dc:date><dc:nsf_par_id>10581235</dc:nsf_par_id><dc:journal_name>Proceedings of Machine Learning Research</dc:journal_name><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation/><dc:issn>2640-3498</dc:issn><dc:isbn/><dc:doi>https://doi.org/</dc:doi><dcq:identifierAwardId>2203261</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>