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This is an automated message from the Librarian Bot. I found the following papers similar to this paper.

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The following papers were recommended by the Semantic Scholar API

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• GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning (2025)
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parameters, featuring a\nhybrid reasoning method that supports both thinking and direct response modes.\nThrough multi-stage training on 23T tokens and comprehensive post-training with\nexpert model iteration and reinforcement learning, GLM-4.5 achieves strong\nperformance across agentic, reasoning, and coding (ARC) tasks, scoring 70.1% on\nTAU-Bench, 91.0% on AIME 24, and 64.2% on SWE-bench Verified. 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