HyperCLOVA X Technical Report
원문 초록
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.
함께 살펴볼 논문
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Bridging Offline and Online Reinforcement Learning for LLMs
Multi-lingual Functional Evaluation for Large Language Models
MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching
MIDB: Multilingual Instruction Data Booster for Enhancing Multilingual Instruction Synthesis
Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing
DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering
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