Papers by Yujin Baek
Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints (2023.findings-acl)
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| Challenge: | Existing work has not evaluated LNMT models under challenging real-world conditions. |
| Approach: | They propose a homograph disambiguation module and a model that integrates contextually rich information about unseen lexical constraints from pre-trained language models. |
| Outcome: | The proposed model can cope with “homographs” and “unseen” lexical constraints. |
Exploring In-context Example Generation for Machine Translation (2025.findings-acl)
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| Challenge: | Large language models (LLMs) have demonstrated strong performance across various tasks with just a few examples. |
| Approach: | They propose a method that generates in-context example pairs without external resources. |
| Outcome: | The proposed method builds upon two prior criteria, relevance and diversity, which have been highlighted as key factors for in-context example selection. |
Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration (2025.acl-long)
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| Challenge: | Existing approaches to creating inclusive vision-language models rely on human annotators, making it labor-intensive and creating cognitive burdens. |
| Approach: | They propose a semi-automated framework for constructing cultural VLM benchmarks . they use an annotated sample of Korean culture to generate questions . |
| Outcome: | The proposed framework is based on a Korean culture dataset and shows that open-source models lag behind proprietary ones in understanding Korean culture. |
Towards Formality-Aware Neural Machine Translation by Leveraging Context Information (2023.findings-emnlp)
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| Challenge: | Formality is one of the most important linguistic properties to determine the naturalness of translation. |
| Approach: | They propose a method to explicitly inform neural machine translation models by pinpointing key informative tokens using a formality classifier. |
| Outcome: | The proposed method improves translation quality and conforms to the appropriate syntax. |