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Conferences
Minjoon Seo
31 papers at tracked venues · 17 at CORE A* · active 2024–2026
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Venues
NAACL
×7
EMNLP
×6
ICLR
×6
ACL
×5
AAAI
×3
NeurIPS
×3
EACL
×1
Frequent coauthors
Hyunji Lee
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Seongyun Lee
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Seonghyeon Ye
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Seungone Kim
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Jiyeon Kim
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Geewook Kim
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Dongkeun Yoon
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Haebin Shin
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Hyowon Cho
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Sangkyu Lee
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Chaeeun Kim
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Miyoung Ko
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Papers
Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams
ACL 2026
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Jiyeon Kim
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Instruction Tuning with and without Context: Behavioral Shifts and Downstream Impact
EACL 2026
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Hyunji Lee
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State-Space Hierarchical Compression with Gated Attention and Learnable Sampling for Hour-Long Video Understanding in Large Multimodal Models
AAAI 2026
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Geewook Kim
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Generative Prompt Internalization
NAACL 2025
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Haebin Shin
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How Does Vision-Language Adaptation Impact the Safety of Vision Language Models?
ICLR 2025
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Seongyun Lee
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Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition
ICLR 2025
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Jiyeon Kim
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Latent Action Pretraining from Videos
ICLR 2025
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Seonghyeon Ye
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Reasoning Models Better Express Their Confidence
NeurIPS 2025
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Dongkeun Yoon
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RouterRetriever: Routing over a Mixture of Expert Embedding Models
AAAI 2025
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Hyunji Lee
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The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
NAACL 2025
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Seungone Kim
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Towards Reliable and Practical Phishing Detection
NAACL 2025
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Hyowon Cho
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Aligning Large Language Models by On-Policy Self-Judgment
ACL 2024
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Sangkyu Lee
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Aligning to Thousands of Preferences via System Message Generalization
NeurIPS 2024
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Seongyun Lee
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Exploring the Practicality of Generative Retrieval on Dynamic Corpora
EMNLP 2024
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Chaeeun Kim
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FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
ICLR 2024
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Seonghyeon Ye
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Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilization
EMNLP 2024
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Miyoung Ko
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How Do Large Language Models Acquire Factual Knowledge During Pretraining?
NeurIPS 2024
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Hoyeon Chang
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How Well Do Large Language Models Truly Ground?
NAACL 2024
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Hyunji Lee
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Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following
AAAI 2024
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Seonghyeon Ye
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KTRL+F: Knowledge-Augmented In-Document Search
NAACL 2024
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Hanseok Oh
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LangBridge: Multilingual Reasoning Without Multilingual Supervision
ACL 2024
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Dongkeun Yoon
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On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning
EMNLP 2024
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Geewook Kim
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Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models
EMNLP 2024
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Seungone Kim
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Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation
ACL 2024
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Seongyun Lee
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Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
ICLR 2024
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Seungone Kim
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REPLUG: Retrieval-Augmented Black-Box Language Models
NAACL 2024
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Weijia Shi
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Rethinking the Role of Proxy Rewards in Language Model Alignment
EMNLP 2024
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Sungdong Kim
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Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards
EMNLP 2024
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Hyeonbin Hwang
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Semiparametric Token-Sequence Co-Supervision
ACL 2024
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Hyunji Lee
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SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
ICLR 2024
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Jaehyung Kim
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Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision
NAACL 2024
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Seongyun Lee
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