✉️ [email protected] 🐱 Github / 🎓 Scholar

I am a Ph.D. student in Computer Science at Yonsei University, affiliated with the Internet Computing Lab and advised by Prof. Kyong-Ho Lee. Prior to this, I earned my bachelor’s degree in Biology and Software Convergence from Kyung Hee University.

Research Interests

• Knowledge Graph based Question Answering
• Domain-specific Reasoning
• Long-tail knowledge

Education & Experience

• Yonsei University, Seoul, South Korea Integrated M.S. & Ph.D. Student in ****Computer Science Mar. 2022 – Present
• Human-Inspired AI Research, Seoul, South Korea Research Intern Mar. 2021 – Dec. 2021
• Kyung Hee University, Seoul, South Korea B.S. in Biology & Software Convergence Mar. 2017 – Feb.2022

Publications

International

• Which bird does not have wings: Negative-constrained KGQA with Schema-guided Semantic Matching and Self-directed Refinement Midan Shim*, Seokju Hwang, KaeHyun Um, Kyong-Ho Lee Findings of the Association for Computational Linguistics (ACL 2026 findings)
• Data-Efficient Adaptation to Contextual Shifts in LLM-based Conversational Recommendation Hyeongjun Yang, Donghyun Kim, Seokju Hwang, Midan Shim, KyuHwan Yeom, KaeHyun Um and Kyong-Ho Lee Findings of the Association for Computational Linguistics (ACL 2026 findings)
• FineESC: Fine-Grained Emotional Support Conversation with Turn-level Importance Modeling via Subquestion Reasoning Seokju Hwang, Midan Shim, Yeseul Gong, Donghyun Kim, and Kyong-Ho Lee IEEE Transactions on Affective Computing (IF:9.8) 2026
• OmEGa (Ω): Ontology-based information extraction framework for constructing task-centric knowledge graph from manufacturing documents with large language model Midan Shim*, Hyojun Choi, Heeyeon Koo, Kaehyun Um, Kyong-Ho Lee, Sanghyun Lee Advanced Engineering Informatics (IF:9.9) 2025
• MIRROR: Multi-party dialogue generation based on interpersonal relationship-aware persona retrieval Seungmi Lee, Midan Shim, Kyong-Ho Lee Expert Systems with Applications (IF:7.5) 2025
• An analysis on language transfer of pre-trained language model with cross-lingual post-training Suhyune Son, Chanjun Park, Jungseob Lee, Midan Shim*, Chanhee Lee, Yoonna Jang, Jaehyung Seo, Jungwoo Lim, Heuiseok Lim Expert Systems with Applications (IF:7.5) 2025
• Active Learning Framework for Improving Knowledge Graph Accuracy Donghyun Kim, Hyeongjun Yang, Seokju Hwang, Kyuhwan Yeom, Midan Shim, Kyong-Ho Lee IEEE Access (IF:3.6), 2025
• Empirical analysis of parallel corpora and in-depth analysis using LIWC Chanjun Park, Midan Shim*, Sugyeong Eo, Seolhwa Lee, Jaehyung Seo, Hyeonseok Moon, Heuiseok Lim Applied Sciences (IF:2.5), 2022
• K-EPIC: Entity-Perceived Context Representation in Korean Relation Extraction Yuna Hur, Suhyune Son, Midan Shim*, Jungwoo Lim, Heuiseok Lim Applied Sciences (IF:2.5), 2021
• Schizophrenia Detection Using Machine Learning Approach from Social Media Content Yi Ji Bae, Midan Shim, Won Hee Lee Sensors (IF:3.5), 2021

Domestic

• Korean and Multilingual Language Models Study for Cross-Lingual Post-Training (XPT) Suhyune Son, Chanjun Park, Jungseob Lee, Midan Shim, Chanhee Lee, Kinam Park, Heuiseok Lim 한국융합학회, 2022
• LSTM–어텐션 메커니즘 기반의 풍력 출력 예측 분석 이륜경, 심미단, 신훈영 대한전기학회 학술대회, 2022