Papers by Seoyoon Park
Read the Room, Read the Image: Understanding Indirect Speech Acts in Multimodal Visual Contexts (2026.findings-acl)
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Jaehee Kim, Ji Hoon Chung, Seoyoon Park, Unsol Kim, Kyungwon Park, JiHak Kim, Yi-Jun Chen, Hansaem Kim
| Challenge: | Existing benchmarks focus on explicit context, but do not address context-dependent pragmatic understanding. |
| Approach: | They propose a benchmark for evaluating ISA understanding through integrated reasoning over visual context and dialogue. |
| Outcome: | Experiments show that state-of-the-art models struggle with visually grounded indirect speech acts . linguistic meaning emerges through the relationship between an utterance and situational context . |
FLUID QA: A Multilingual Benchmark for Figurative Language Usage in Dialogue across English, Chinese, and Korean (2025.emnlp-main)
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| Challenge: | Figurative language is a core component of everyday communication . existing benchmarks focus on sentence-level classification or inference tasks . |
| Approach: | They propose a multilingual benchmark that evaluates figurative usage in dialogue . they use a sentence-level diagnostic task to embed figurativ choices into multi-turn contexts . |
| Outcome: | The benchmark evaluates large language models' ability to use figurative expressions coherently in conversation. |
Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean (2024.lrec-main)
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ChangSu Choi, Yongbin Jeong, Seoyoon Park, Inho Won, HyeonSeok Lim, SangMin Kim, Yejee Kang, Chanhyuk Yoon, Jaewan Park, Yiseul Lee, HyeJin Lee, Younggyun Hahm, Hansaem Kim, KyungTae Lim
| Challenge: | Large language models (LLMs) use pretraining to predict the subsequent word, but less-resourced languages are being overlooked. |
| Approach: | They propose to expand the MLLM vocabularies to enhance expressiveness and use bilingual data for pretraining to align the high- and less-resourced languages. |
| Outcome: | The proposed model outperforms existing models in qualitative analyses compared to Korean monolingual models. |