Papers by Minju Park
BIPED: Pedagogically Informed Tutoring System for ESL Education (2024.acl-long)
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| Challenge: | Existing Large Language Models (LLMs) are limited in scope and lack pedagogical depth. |
| Approach: | They construct a BIlingual PEDagogically-informed Tutoring Dataset of one-on-one, human-to-human tutoring interactions using a post-hoc analysis. |
| Outcome: | The proposed models replicate the style of human teachers and employ diverse and contextually appropriate pedagogical strategies. |
Assessing LLM Reasoning Steps via Principal Knowledge Grounding (2025.findings-emnlp)
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Hyeon Hwang, Yewon Cho, Chanwoong Yoon, Yein Park, Minju Song, Kyungjae Lee, Gangwoo Kim, Jaewoo Kang
| Challenge: | Step-by-step reasoning has become a standard approach for large language models to tackle complex tasks. |
| Approach: | They propose a framework that assesses the knowledge grounding of intermediate reasoning by using a large-scale repository of atomic knowledge essential for reasoning. |
| Outcome: | The evaluation suite identifies missing or misapplied knowledge elements and provides crucial insights for uncovering fundamental reasoning deficiencies in LLMs. |
PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints (2026.findings-acl)
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Minjun Park, Donghyun Kim, Hyeonjong Ju, Seungwon Lim, Dongwook Choi, Taeyoon Kwon, Minju Kim, Jinyoung Yeo
| Challenge: | Recent research explores multi-agent systems where agents collaborate toward shared goals to handle complex tasks. |
| Approach: | They propose a benchmark for systematic evaluation of multi-agent collaboration under privacy constraints. |
| Outcome: | The proposed benchmark shows that privacy constraints degrade collaboration performance and make outcomes depend more on the initiating agent than the partner. |