Learning Smooth Reward Models with Temporal Difference for LLM RL and Inference
Dan Zhang
zd21
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a dataset
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zd21/DataSciBench
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TDRM
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a model
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zd21/DeepSeek-TD1-PRM
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models
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zd21/DeepSeek-TD1-PRM
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zd21/GLM-Z1-9B-0414-TDRM
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zd21/GLM4-9B-0414-TDRM
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zd21/Qwen2.5-1.5B-TDRM
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zd21/Qwen2.5-0.5B-TDRM
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zd21/Qwen2.5-Math-7B-TDRM
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zd21/Qwen2.5-Math-1.5B-TDRM
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zd21/DS-R1-Distill-Qwen-7.5B-TDRM
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zd21/DS-R1-Distill-Qwen-1.5B-TDRM
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zd21/DeepSeek-ScalarORM
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datasets
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zd21/DataSciBench
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zd21/TDRM-3-step-TD
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1.41M
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zd21/TDRM-2-step-TD
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1.41M
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zd21/TDRM-1-step-TD
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1.41M
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zd21/ReST-MCTS_SciGLM-6B_Self-Rewarding-DPO_2nd
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zd21/ReST-MCTS_SciGLM-6B_ReST-MCTS_Policy_2nd
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40.9k
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zd21/ReST-MCTS_SciGLM-6B_ReST-EM-CoT_2nd
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zd21/ReST-MCTS_Mistral-MetaMATH-7b-Instruct_Self-Rewarding-DPO_2nd
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zd21/ReST-MCTS_Mistral-MetaMATH-7b-Instruct_ReST-MCTS_2nd
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26k
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zd21/ReST-MCTS_Mistral-MetaMATH-7b-Instruct_ReST-EM-CoT_2nd
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36.6k
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