Kyubyung Chae

According to our database, Kyubyung Chae authored at least 11 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Beyond Case Law: Evaluating Structure-Aware Retrieval and Safety in Statute-Centric Legal QA.

Kyubyung Chae, Je Won Yeom, Jeongjae Park, Seunghyun Bae, Ijun Jang, Hyunbin Jin, Jinkwan Jang, Taesup Kim

CoRR, April, 2026

What Models Know, How Well They Know It: Knowledge-Weighted Fine-Tuning for Learning When to Say "I Don't Know".

Joosung Lee, Hwiyeol Jo, Donghyeon Ko, Kyubyung Chae, Cheonbok Park, Jeonghoon Kim

CoRR, April, 2026

Robust Domain Generalization under Divergent Marginal and Conditional Distributions.

Je Won Yeom, Kyubyung Chae, Hyunggyu Lim, Yoonna Oh, Dongyoon Yang, Taesup Kim

CoRR, February, 2026

What If TSF: A Benchmark for Reframing Forecasting as Scenario-Guided Multimodal Forecasting.

Jinkwan Jang, Hyunbin Jin, Hyungjin Park, Kyubyung Chae, Taesup Kim

CoRR, January, 2026

Evaluating Structure-Aware Retrieval and Safety in Statute-Centric Legal QA.

Kyubyung Chae, Je Won Yeom, Jeongjae Park, Seunghyun Bae, Ijun Jang, Hyunbin Jin, Jinkwan Jang, Taesup Kim

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

KoSimpleQA: A Korean Factuality Benchmark with an Analysis of Reasoning LLMs.

Donghyeon Ko, Yeguk Jin, Kyubyung Chae, Byungwook Lee, Chansong Jo, Sookyo In, Jaehong Lee, Taesup Kim, Donghyun Kwak

CoRR, October, 2025

From Threat to Tool: Leveraging Refusal-Aware Injection Attacks for Safety Alignment.

Kyubyung Chae, Hyunbin Jin, Taesup Kim

CoRR, June, 2025

Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMs.

Kyubyung Chae, Gihoon Kim, Gyuseong Lee, Taesup Kim, Jaejin Lee, Heejin Kim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

When Vision Models Meet Parameter Efficient Look-Aside Adapters Without Large-Scale Audio Pretraining.

Juan Yeo, Jinkwan Jang, Kyubyung Chae, Seongkyu Mun, Taesup Kim

CoRR, 2024

Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information.

Kyubyung Chae, Jaepill Choi, Yohan Jo, Taesup Kim

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Model-based Preference Optimization in Abstractive Summarization without Human Feedback.

Jaepill Choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, Taesup Kim

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024