Papers by Seungyeon Lee
Type-dependent Prompt CycleQAG : Cycle Consistency for Multi-hop Question Generation (2022.coling-1)
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| Challenge: | Existing research on multi-hop question generation (QG) has not been done due to its complexity. |
| Approach: | They propose a type-dependent prompt cycleQAG with a cycle consistency loss . they propose to use the question type and words related to the correct answer as prompts . |
| Outcome: | The proposed model outperforms the baseline model by 10.38% based on ROUGE score. |
PicPersona-TOD : A Dataset for Personalizing Utterance Style in Task-Oriented Dialogue with Image Persona (2025.naacl-long)
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| Challenge: | Existing systems produce generic, monotonic responses that lack individuality and fail to adapt to users’ personal attributes. |
| Approach: | They propose a dataset that incorporates user images as part of the persona, enabling personalized responses tailored to user-specific factors such as age or emotional context. |
| Outcome: | The proposed dataset enhances user experience, with personalized responses contributing to a more engaging interaction. |
Unlocking the Potential of Diffusion Language Models through Template Infilling (2026.acl-long)
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| Challenge: | Existing methods rely on prefix-based prompting, resulting in a lack of stability and a large computational time. |
| Approach: | They propose a conditioning methodology tailored for Diffusion Language Models that distributes structural anchors across the target response, establishing a global template before infilling masked segments. |
| Outcome: | The proposed method improves on mathematical reasoning, code generation, and trip planning benchmarks while maintaining speed and robustness. |