Author

Yongil Kim

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#artificial intelligence Mar 2026

BenchPreS: A Benchmark for Context-Aware Personalized Preference Selectivity of Persistent-Memory LLMs

Large language models (LLMs) increasingly store user preferences in persistent memory to support personalization across interactions. However, in third-party communication settings governed by social and institutional norms, some user preferences may be inappropriate to apply. We introduce BenchPreS, which evaluates wh...

Sangyeon Yoon, SunKyoung Kim, Hyesoo Hong et al. · arXiv.org · 8 citations · ⚡2

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