Papers by Gisang Lee
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts (2025.emnlp-main)
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| Challenge: | Understanding and reasoning over text within visual contexts poses a significant challenge for Vision-Language Models. |
| Approach: | They propose a benchmark for Korean Reading and rEasoning in Text-rich VQA Attuned to diverse visual contexts to address this challenge. |
| Outcome: | The proposed benchmark is tailored for Korean reading and rEasoning in text-rich VQA attuned to diverse visual contexts. |
MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline (2024.emnlp-industry)
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| Challenge: | Recent advances in text-video retrieval neglect the crucial user perspective, leading to discrepancies between user queries and content retrieved. |
| Approach: | They propose a novel, training-free pipeline that leverages Large Language Models for iterative feedback learning. |
| Outcome: | Experimental results show that MERLIN significantly outperforms existing systems in video retrieval. |