Papers by Jaehyun Park
Zero-shot Multimodal Document Retrieval via Cross-modal Question Generation (2025.emnlp-main)
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| Challenge: | Existing multimodal large language models struggle when faced with unseen domains or languages. |
| Approach: | They propose a framework that leverages the broad knowledge of an MLLM to generate cross-modal pre-questions (preQs) before retrieval. |
| Outcome: | Experiments show that PREMIR outperforms existing retrievers on out-of-distribution benchmarks, including closed-domain and multilingual settings, outperforming strong baselines across all metrics. |
RAC: Retrieval-augmented Conversation Dataset for Open-domain Question Answering in Conversational Settings (2024.emnlp-industry)
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| Challenge: | Existing studies constrain questions and answers within predefined contexts, excluding the retrieval process. |
| Approach: | They present a retrieval-augmented conversation dataset that addresses key challenges . they propose a system that combines query rewriting and retrieval with reranking . |
| Outcome: | The proposed system improves query rewriting, retrieval, reranking, and response generation performance. |