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네이버클라우드

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네이버클라우드가 개발한 초거대 AI HyperCLOVA X 계열을 운영하며, 한국어에 최적화된 파운데이션 모델과 오픈 웨이트 SEED 라인업을 함께 제공한다.

유형

기업

AI 핵심도

파운데이션 모델 개발

상태

운영 중

본사

Seongnam

설립

2009

웹사이트

https://navercorp.com/en/tech/hyperclovax

분야

foundation-modelsovereign-llmmultimodalcloud-ai

개발 모델 11

• CLOVA Speech Recognition (CSR)
• CLOVA Voice
• Donut (Document Understanding Transformer) Base
• HCX-003
• HyperCLOVA X
• HyperCLOVAX-SEED-Omni-8B
• HCX-DASH-001
• HyperCLOVAX-SEED-Text-Instruct-1.5B
• HyperCLOVA X SEED Think 14B
• HyperCLOVAX-SEED-Think-32B
• HyperCLOVAX-SEED-Vision-Instruct-3B

제품 및 서비스 4

• 클로바 스튜디오
• 클로바 X
• 에이전트 N
• 큐:

오픈소스 4

• CRAFT (구현)
• Deep Text Recognition Benchmark
• Donut (구현)
• StarGAN v2 (구현)

관련 논문 37

• AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (2021)
• Aligning Large Language Models by On-Policy Self-Judgment (2024)
• Aligning Language Models to Explicitly Handle Ambiguity (2024)
• Aligning Large Language Models through Synthetic Feedback (2023)
• Critic-Guided Decoding for Controlled Text Generation (2022)
• CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions (2025)
• Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding (2023)
• FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets (2024)
• HyperCLOVA X Technical Report (2024)
• HyperCLOVA X THINK Technical Report (2025)
• KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Application (2023)
• MPCHAT: Towards Multimodal Persona-Grounded Conversation (2023)
• Character Region Awareness for Text Detection (2019)
• BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents (2021)
• CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features (2019)
• OCR-free Document Understanding Transformer (2021)
• The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation (2023)
• GeNAS: Neural Architecture Search with Better Generalization (2023)
• Masking meets Supervision: A Strong Learning Alliance (2025)
• Learning Features with Parameter-Free Layers (2022)
• Rethinking Channel Dimensions for Efficient Model Design (2020)
• Rotary Position Embedding for Vision Transformer (2024)
• SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage (2023)
• What Do Self-Supervised Vision Transformers Learn? (2023)
• What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis (2019)
• SWAD: Domain Generalization by Seeking Flat Minima (2021)
• Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing (2021)
• ViDT: An Efficient and Effective Fully Transformer-based Object Detector (2022)
• Rethinking the Truly Unsupervised Image-to-Image Translation (2020)
• Rethinking Spatial Dimensions of Vision Transformers (PiT) (2021)
• Prometheus: Inducing Fine-grained Evaluation Capability in Language Models (2024)
• Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels (2021)
• Rethinking the Role of Proxy Rewards in Language Model Alignment (2024)
• SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created Through Human-Machine Collaboration (2023)
• StarGAN v2: Diverse Image Synthesis for Multiple Domains (2020)
• Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models (2025)
• TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models (2024)

저장소 링크

• https://huggingface.co/naver-hyperclovax

출처 및 검증

• [official-website] https://navercorp.com/en/tech/hyperclovax
• [huggingface] https://huggingface.co/naver-hyperclovax

마지막 검증일: 2026-07-22