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Image Credit: Arxiv

GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

  • GLM-4.1V-Thinking is a vision-language model (VLM) that aims to advance multimodal reasoning.
  • The model utilizes Reinforcement Learning with Curriculum Sampling (RLCS) to enhance its capabilities across various tasks.
  • GLM-4.1V-9B-Thinking, an open-source version, achieves state-of-the-art performance on multiple benchmarks.
  • The model surpasses similar-sized models and even outperforms larger models on various tasks like STEM reasoning and long document understanding.

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