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TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning
Paper • 2505.14625 • Published • 13 -
TinyV
💬1Verify model answers against ground truth
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zhangchenxu/TinyV-Qwen3-1.7B
Text Generation • 2B • Updated • 10 -
zhangchenxu/TinyV-Qwen3-1.7B-Think
Text Generation • 2B • Updated • 14 • 3
Zhangchen Xu PRO
zhangchenxu
AI & ML interests
LLM Data, Alignment, Post-Training, Safety
Recent Activity
upvoted a paper 6 days ago
Visual Aesthetic Benchmark: Can Frontier Models Judge Beauty? updated a dataset about 1 month ago
zhangchenxu/Toucan-SFT-11K published a dataset about 1 month ago
zhangchenxu/Toucan-SFT-11KOrganizations
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TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning
Paper • 2505.14625 • Published • 13 -
TinyV
💬1Verify model answers against ground truth
-
zhangchenxu/TinyV-Qwen3-1.7B
Text Generation • 2B • Updated • 10 -
zhangchenxu/TinyV-Qwen3-1.7B-Think
Text Generation • 2B • Updated • 14 • 3