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Jungmin Yun

Observed names: JungMin Yun, Yun, JungMin
Observed institution: Chung-Ang University
OpenAlex ID: A5135242185
Beyond One-Shot Expansion: Contrastive Evidence Exploration for Multi-Hop Retrieval
2026 · Yun, JungMin, Kim, YoungBin · arXiv (Cornell University)
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Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks
2026 · Association for Computational Linguistics 2026, 김, 미현, et al. · Underline Science Inc.
Aligning with Your Own Voice: Self-Corrected Preference Learning for Hallucination Mitigation in LVLMs
2026 · Association for Computational Linguistics 2026, Kim, YoungBin, et al. · Underline Science Inc.
IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering
2026 · Association for Computational Linguistics 2026, Kim, YoungBin, et al. · Underline Science Inc.
Progressive Visual Rationale for Multimodal Chain-of-Thought in Large Vision-Language Models
2026 · Byeonggeuk Lim, Junehyoung Kwon, et al. · TECHART Journal of Arts and Imaging Science
Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models
2026 · Kwon, JuneHyoung, Yun, JungMin, et al. · arXiv (Cornell University)
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Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks
2026 · Kwon, JuneHyoung, Kim, MiHyeon, et al. · arXiv (Cornell University)
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CRiT-QA: Evaluating Multi-hop Reasoning with Counterfactual Chains and Distractor Traps
2026 · Jungmin Yun, June Hyoung Kwon, et al. · Language Resources and Evaluation Conference (LREC)
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VG-CoT: Towards Trustworthy Visual Reasoning via Grounded Chain-of-Thought
2026 · Byeonggeuk Lim, Kyeonghyun Kim, et al. · Language Resources and Evaluation Conference (LREC)
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Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models
2026 · June Hyoung Kwon, Jungmin Yun, et al. · Language Resources and Evaluation Conference (LREC)
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Aligning with Your Own Voice: Self-Corrected Preference Learning for Hallucination Mitigation in LVLMs
2026 · Lim, Byeonggeuk, Yun, JungMin, et al. · arXiv (Cornell University)
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Position Paper: How Should We Responsibly Adopt LLMs in the Peer Review Process?
2026 · Association for Computational Linguistics 2026, Choi, Juhwan, et al. · Underline Science Inc.
Position on LLM-Assisted Peer Review: Addressing Reviewer Gap through Mentoring and Feedback
2026 · Yun, JungMin, Kwon, JuneHyoung, et al. · arXiv (Cornell University)
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Query, Decompose, Compress: Structured Query Expansion for Efficient Multi-Hop Retrieval
2026 · Yun, JungMin, Kim, YoungBin · arXiv (Cornell University)
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Position Paper: How Should We Responsibly Adopt LLMs in the Peer Review Process?
2026 · Juhwan Choi, JungMin Yun, et al. · Findings of the Association for Computational Linguistics: EACL
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IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering
2026 · JungMin Yun, YoungBin Kim · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Aligning with Your Own Voice: Self-Corrected Preference Learning for Hallucination Mitigation in LVLMs
2026 · Byeonggeuk Lim, JungMin Yun, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks
2026 · Junehyoung Kwon, MiHyeon Kim, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
Beyond Safe Answers: Segment-Aware Listwise Alignment for Reasoning Safety in Large Reasoning Models
2026 · JungMin Yun, Junehyoung Kwon, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Look Before You Leap: Factual Decoding with Internal Attribution Signals
2026 · Hayeong Ryu, JungMin Yun, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Works count: 20
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