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Hyeonjin Kim

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#natural language process... Preprint Sep 2026

$\mu^2$-Bench: A Multilingual Machine Unlearning Benchmark

Undesired information such as harmful content and private data propagates through Multilingual Large Language Models (LLMs) via direct training and indirect cross-linguistic spread. Multilingual Machine Unlearning (MMU) aims to remove such information, yet its evaluation remains underexplored, leaving unclear whether u...

Kyomin Hwang, Hyeonjin Kim, Hyunho Lee et al. · 0 citations

#artificial intelligence Preprint Aug 2026

FaVOR: LLM-Based Agentic Framework for Factor Mining via Empirical Validation

FaVOR (Factor Validation through Observable Reasoning), an agentic framework that restructures factor mining around hypothesis-level evidence rather than return outcomes, shows that hypothesis-grounded factor discovery produces signals that are interpretable by construction, regime-robust, and economically faithful.

Hyeonjin Kim, Minseok Kim, Seunghyeon Jung et al. · 0 citations