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Dongjae Shin

2 accepted papers

2025

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

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…

Cited by 1SourcePDFScholar
2024

X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment

NAACL 2024findings

The impressive development of large language models (LLMs) is expanding into the realm of large multimodal models (LMMs), which incorporate multiple types of data beyond text. However, the nature of multimodal models leads to significant expenses in the creation of training data. Furthermore, constr…