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Hiroshi Yoshihara
RabotniKuma
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A Practical Two-Stage Recipe for Mathematical LLMs: Maximizing Accuracy with SFT and Efficiency with Reinforcement Learning
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Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search
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RabotniKuma
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RabotniKuma/Fast-Math-R1-Token-Scheduler
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RabotniKuma/Fast-Math-R1-GRPO
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RabotniKuma/Fast-Math-R1-SFT
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