Critique to Verify: Accurate and Honest Test-Time Scaling with RL-Trained Verifiers (https://arxiv.org/abs/2509.23152)
Zhicheng YANG
yangzhch6
AI & ML interests
reasoning with LLMs
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yangzhch6/Qwen2.5-Math-7B-16k-Think-Synthesizer
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yangzhch6/cuda-12.8-tar
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yangzhch6/cuda-12.8
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yangzhch6/Mirror-Verifier-1.5B
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yangzhch6/Mirror-Verifier-7B
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yangzhch6/Zero-Solver-Qwen2.5-Math-7B-L
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yangzhch6/Zero-Solver-Qwen2.5-Math-1.5B-L
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yangzhch6/Qwen2.5-Math-7B-L
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yangzhch6/Qwen2.5-7B-openr1-nothink-3k-f3
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yangzhch6/Qwen2.5-1.5B-openr1-nothink-3k-f3
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datasets 16
yangzhch6/Accordion-Thinking-Synthetic-Data
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yangzhch6/DeepInformal-DeepTheorem-Synthetic
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yangzhch6/DeepInformal-Openr1-Math-46K-Synthetic
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yangzhch6/compare-openr1
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yangzhch6/Align-Openr1-Math-46k
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yangzhch6/DeepInformal-test
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yangzhch6/DeepInformal-Putnam-1995-2024
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yangzhch6/DeepInformal-DeepTheorem-DeepSeek-84k
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yangzhch6/Putnam-Informal-1995-2024
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• 360 • 7 • 1
yangzhch6/cuda-12.8-tar
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