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Ha Young Lee

Publications and source records attributed to Ha Young Lee.

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HyperCLOVA X Technical Report

We introduce HyperCLOVA X, a family of large language models (LLMs) tailored to the Korean language and culture, along with competitive capabilities in English, math, and coding. HyperCLOVA X was trained on a balanced mix of Korean, English, and code data, followed by instruction-tuning with high-quality human-annotated datasets while abiding by strict safety guidelines reflecting our commitment to responsible AI. The model is evaluated across various benchmarks, including comprehensive reasoning, knowledge, commonsense, factuality, coding, math, chatting, instruction-following, and harmlessness, in both Korean and English. HyperCLOVA X exhibits strong reasoning capabilities in Korean backed by a deep understanding of the language and cultural nuances. Further analysis of the inherent bilingual nature and its extension to multilingualism highlights the model's cross-lingual proficiency and strong generalization ability to untargeted languages, including machine translation between several language pairs and cross-lingual inference tasks. We believe that HyperCLOVA X can provide helpful guidance for regions or countries in developing their sovereign LLMs.

cs.CL

Piezoelectric generator driven by enhanced light pressure

A light-pressure electric generator (LPEG) is reported that converts amplified radiation pressure into electrical energy. Its underlying principle differs from that of conventional piezoelectric power generation. The generator was fabricated by coating a thin Pb(Zr,Ti)O3 film on a wet-chemical-etched microvoid-shaped structure on the surface of a GaAs wafer and then depositing platinum. The surface plasmon phenomenon of the precious metal and the microvoid structure caused the radiation pressure to be amplified sufficiently to stimulate the piezoelectric material. This method provides versatile and cost-effective energy harvesting and represents a potentially useful new way of powering the Internet of Things devices.

physics.app-ph