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Haneol Jang

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

BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining

AAAI 2024technical

The current research direction in generative models, such as the recently developed GPT4, aims to find relevant knowledge information for multimodal and multilingual inputs to provide answers. Under these research circumstances, the demand for multilingual evaluation of visual question answering (VQ…

Cited by 5SourcePDFScholar