mlsanityData to 7 Oct 2026

K-EXAONE Technical Report

arXiv 2601.01739 ↗First posted 5 Jan 2026cs.CL cs.AIcited by 2

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Abstract (arXiv)

This technical report presents K-EXAONE, a large-scale multilingual language model developed by LG AI Research. K-EXAONE is built on a Mixture-of-Experts architecture with 236B total parameters, activating 23B parameters during inference. It supports a 256K-token context window and covers six languages: Korean, English, Spanish, German, Japanese, and Vietnamese. We evaluate K-EXAONE on a comprehensive benchmark suite spanning reasoning, agentic, general, Korean, and multilingual abilities. Across these evaluations, K-EXAONE demonstrates performance comparable to open-weight models of similar size. K-EXAONE, designed to advance AI for a better life, is positioned as a powerful proprietary AI foundation model for a wide range of industrial and research applications.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 27 of its 38 references that are in the map. First posted on arXiv 5 Jan 2026.

Builds on

27 of 38 references.

References · 27

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15 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Solar Open Technical Reportcited by 2
  2. 2026XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivitycited by 1

Similar, not cited

Close in wording, no citation either way

  1. 2026K-EXAONE 2.0 Technical Report
  2. 2025EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes
  3. 2026EXAONE 4.5 Technical Report
  4. 2025EXAONE Deep: Reasoning Enhanced Language Models
  5. 2024HyperCLOVA X Technical Report
  6. 2025KORMo: Korean Open Reasoning Model for Everyone
  7. 2024SUTRA: Scalable Multilingual Language Model Architecture
  8. 2024Large Language Model Evaluation Via Multi AI Agents: Preliminary results