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TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning
Paper • 2505.14625 • Published • 13 -
1
TinyV
💬Verify model answers against ground truth
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zhangchenxu/TinyV-Qwen3-1.7B
Text Generation • 2B • Updated • 7 -
zhangchenxu/TinyV-Qwen3-1.7B-Think
Text Generation • 2B • Updated • 17 • 1
Zhangchen Xu PRO
zhangchenxu
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TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning
Paper • 2505.14625 • Published • 13 -
1
TinyV
💬Verify model answers against ground truth
-
zhangchenxu/TinyV-Qwen3-1.7B
Text Generation • 2B • Updated • 7 -
zhangchenxu/TinyV-Qwen3-1.7B-Think
Text Generation • 2B • Updated • 17 • 1
models
7
zhangchenxu/TinyV-1.5B-Think
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2B
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zhangchenxu/TinyV-Qwen3-1.7B-Think
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17
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1
zhangchenxu/TinyV-Qwen3-1.7B
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2B
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7
zhangchenxu/TinyV-1.5B
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2B
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833
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zhangchenxu/gemma-2-2b-magpie-gemma2-9b-flash
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zhangchenxu/Llama-2-7b-Alpaca52k-GPT4
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zhangchenxu/Llama-2-7b-Alpaca52k
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7B
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8
datasets
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zhangchenxu/HardVerify-Math
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250
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zhangchenxu/TinyV_Think_Training_Data_Qwen3_Balanced
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zhangchenxu/TinyV_Training_Data_Qwen3_Balanced
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zhangchenxu/bigmath_tinyv_filtered
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zhangchenxu/TinyV_Training_Data_Balanced
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159k
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zhangchenxu/TinyV_Think_Training_Data_Balanced
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159k
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zhangchenxu/KodCode_50K_R1
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50k
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zhangchenxu/KodCode_Hard_18K_R1
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18.7k
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zhangchenxu/Magpie-100k-Gemma2-9B
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zhangchenxu/zero-eval
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