mlsanityData to 7 Oct 2026

HyperCLOVA X 32B Think

arXiv 2601.03286 ↗First posted 3 Jan 2026cs.CV cs.AI cs.CLcited by 0

On the map: LLM reasoning → Multimodal reasoning

also in 2 more
Abstract (arXiv)

In this report, we present HyperCLOVA X 32B Think, a vision-language model designed with particular emphasis on reasoning within the Korean linguistic and cultural context, as well as agentic ability. HyperCLOVA X 32B Think is pre-trained with a strong focus on reasoning capabilities and subsequently post-trained to support multimodal understanding, enhanced reasoning, agentic behaviors, and alignment with human preferences. Experimental evaluations against comparably sized models demonstrate that our model achieves strong performance on Korean text-to-text and vision-to-text benchmarks, as well as on agent-oriented evaluation tasks. By open-sourcing HyperCLOVA X 32B Think, we aim to support broader adoption and facilitate further research and innovation across both academic and industrial communities.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Multimodal reasoning, one of 17 directions in LLM reasoning. Builds on 36 of its 72 references that are in the map. First posted on arXiv 3 Jan 2026.

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36 of 72 references.

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  1. 2025InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency25 Aug

Other references · 35

  1. 2017Proximal Policy Optimization Algorithmscited by 14,441
  2. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  3. 2024DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Modelscited by 8,851
  4. 2025Qwen3 Technical Reportcited by 8,195
  5. 2025Qwen2.5-VL Technical Reportcited by 5,418
  6. 2021RoFormer: Enhanced Transformer with Rotary Position Embeddingcited by 4,581
  7. 2023Qwen Technical Reportcited by 3,273
  8. 2025DAPO: An Open-Source LLM Reinforcement Learning System at Scalecited by 2,678
  9. 2023PaLM-E: An Embodied Multimodal Language Modelcited by 2,037
  10. 2020GLU Variants Improve Transformercited by 1,724
  11. 2023GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpointscited by 1,311
  12. 2025Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Modelscited by 1,175
23 more
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  2. 2024DeepSeek-V3 Technical Reportcited by 724
  3. 2024PaliGemma: A versatile 3B VLM for transfercited by 679
  4. 2025τ2-Bench: Evaluating Conversational Agents in a Dual-Control Environmentcited by 558
  5. 2025Seed1.5-VL Technical Reportcited by 367
  6. 2016FastText.zip: Compressing text classification modelscited by 331
  7. 2022Efficient Training of Language Models to Fill in the Middlecited by 248
  8. 2025FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Languagecited by 134
  9. 2024Does Prompt Formatting Have Any Impact on LLM Performance?cited by 132
  10. 2024Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Modelscited by 60
  11. 2025SuperBPE: Space Travel for Language Modelscited by 58
  12. 2025BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clippingcited by 47
  13. 2025Boundless Byte Pair Encoding: Breaking the Pre-tokenization Barriercited by 31
  14. 2025EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modescited by 26
  15. 2025LLaVA-c: Continual Improved Visual Instruction Tuningcited by 14
  16. 2024Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Modelscited by 13
  17. 2025KoBALT: Korean Benchmark For Advanced Linguistic Taskscited by 12
  18. 2025Exploiting Vocabulary Frequency Imbalance in Language Model Pre-trainingcited by 7
  19. 2024VARCO-VISION: Expanding Frontiers in Korean Vision-Language Modelscited by 6
  20. 2025HyperCLOVA X THINK Technical Reportcited by 5
  21. 2025Thinking Augmented Pre-trainingcited by 4
  22. 2025Removing Noise, not Finding Gold: Quality Filtering for Large-Scale Pretrainingcited by 3
  23. 2025Finding Answers in Thought Matters: Revisiting Evaluation on Large Language Models with Reasoningcited by 3

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  8. 2024Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration