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Yongchan Chun

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#artificial intelligence Preprint Sep 2026

Learning to Refer: Client-Resolved Generation for Privacy-Aware Language Models

Cloud-based large language models (LLMs) require users to disclose plaintext data to service providers, creating privacy risks in sensitive domains. Existing privacy-preserving approaches often trade utility for protection, incur substantial computational or communication overhead, remain vulnerable to reconstruction f...

Jeongho Yoon, Chanhee Park, Yong-Chan Chun et al. · 0 citations
Preprint Aug 2026

K-EXAONE 2.0 Technical Report

K-EXAONE 2.0 improves over K-EXAONE and remains competitive with open-weight models, showing its largest gains in agentic coding and long-context understanding and its clearest strengths in long-context retrieval and safety.

Eunbi Choi, Kibong Choi, Sehyun Chun et al. · 0 citations

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