Seohyun Song — accepted AI-conference papers

2025

Unlocking Korean Verbs: A User-Friendly Exploration into the Verb Lexicon

Seohyun Song, Eunkyul Leah Jo, Yige Chen, Jeen-Pyo Hong, Kyuwon Kim, Jin Wee +4

NAACL 2025system demonstrations

The Sejong dictionary dataset offers a valuable resource, providing extensive coverage of morphology, syntax, and semantic representation. This dataset can be utilized to explore linguistic information in greater depth.The labeled linguistic structures within this dataset form the basis for uncoveri…

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2025

VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation

Hyeonseok Lim, Dongjae Shin, Seohyun Song, Inho Won, Minjun Kim, Junghun Yuk +2

COLING 2025main

We propose the VLR-Bench, a visual question answering (VQA) benchmark for evaluating vision language models (VLMs) based on retrieval augmented generation (RAG). Unlike existing evaluation datasets for external knowledge-based VQA, the proposed VLR-Bench includes five input passages. This allows tes…

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