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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 • 14 -
zhangchenxu/TinyV-Qwen3-1.7B-Think
Text Generation • 2B • Updated • 20 • 3
Zhangchen Xu PRO
zhangchenxu
AI & ML interests
LLM Data, Alignment, Post-Training, Safety
Recent Activity
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nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
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Agent-Ark/Toucan-1.5M:Clarification on SFT dataset construction for reproducing results
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about 2 months ago
Efficient Long-context Language Model Training by Core Attention
Disaggregation