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The 1st International Workshop on Retrieval-driven Generative AI & ScienceON AI Challenge: RDGENAI 2025

Eunhui Kim, Caren Han, KeyongTae Lim, Yesim Selcuk, Moon-Ki Back, Sang-bae Han, Kyong-Ha Lee

International Conference on Information and Knowledge Management, 2025

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Abstract

Retrieval augmented generation (RAG) has rapidly emerged as a cornerstone for building trustworthy and efficient generative AI systems, spanning from unimodal question answering to complex multimodal reasoning. The 1st international workshop on retrieval-driven generative AI gathers researchers and practitioners focused on the applied side of RAG-particularly for visually rich document understanding (VRDU) where text, layout, and images intertwine. New in 2025, this workshop is co located with the ScienceON AI Challenge, an open competition benchmarking the reliability of AI generated summaries over ScienceON's public OpenAPI search results. By combining a research workshop with a hands on challenge, we provide a complete pipeline from algorithms to real world evaluation. The half day event features invited keynotes, peer reviewed papers, challenge finalist talks, and a poster/demo session, catalyzing collaboration toward robust, explainable, and domain adapted generativeAI.

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