Kyubyung Chae

11 papers A* 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Robust Domain Generalization under Divergent Marginal and Conditional Distributions.
CoRR
Je Won Yeom, Kyubyung Chae, Hyunggyu Lim, Yoonna Oh, Dongyoon Yang, Taesup Kim
2026 J jnl
What If TSF: A Benchmark for Reframing Forecasting as Scenario-Guided Multimodal Forecasting.
CoRR
Jinkwan Jang, Hyunbin Jin, Hyungjin Park, Kyubyung Chae, Taesup Kim
2025 — conf
Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMs.
EMNLP (Findings)
Kyubyung Chae, Gihoon Kim, Gyuseong Lee, Taesup Kim, Jaejin Lee, Heejin Kim
2025 J jnl
Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMs.
CoRR
Kyubyung Chae, Gihoon Kim, Gyuseong Lee, Taesup Kim, Jaejin Lee, Heejin Kim
2025 J jnl
From Threat to Tool: Leveraging Refusal-Aware Injection Attacks for Safety Alignment.
CoRR
Kyubyung Chae, Hyunbin Jin, Taesup Kim
2025 J jnl
KoSimpleQA: A Korean Factuality Benchmark with an Analysis of Reasoning LLMs.
CoRR
Donghyeon Ko, Yeguk Jin, Kyubyung Chae, Byungwook Lee, Chansong Jo, Sookyo In, Jaehong Lee, Taesup Kim, Donghyun Kwak
2024 — conf
Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information.
NAACL-HLT (Findings)
Kyubyung Chae, Jaepill Choi, Yohan Jo, Taesup Kim
2024 J jnl
Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information.
CoRR
Kyubyung Chae, Jaepill Choi, Yohan Jo, Taesup Kim
2024 A* conf
Model-based Preference Optimization in Abstractive Summarization without Human Feedback.
EMNLP
Jaepill Choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, Taesup Kim
2024 J jnl
Model-based Preference Optimization in Abstractive Summarization without Human Feedback.
CoRR
Jaepill Choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, Taesup Kim
2024 J jnl
When Vision Models Meet Parameter Efficient Look-Aside Adapters Without Large-Scale Audio Pretraining.
CoRR
Juan Yeo, Jinkwan Jang, Kyubyung Chae, Seongkyu Mun, Taesup Kim