search-gen-v-1.7b-sft

Result

• Table 1. Results on the eval set | Verifier Model | Rubric Precision | Rubric Recall | Rubric F1 | Sample Precision | Sample Recall | Sample F1 | Avg. F1 | |---------------------|---------------------|------------------|---------------|----------------------|-------------------|---------------|-------------| | Qwen3-1.7B | 0.41 | 0.49 | 0.34 | 0.48 | 0.40 | 0.32 | 0.33 | | Qwen2.5-3B | 0.42 | 0.47 | 0.43 | 0.49 | 0.46 | 0.43 | 0.43 | | Qwen3-4B | 0.56 | 0.62 | 0.57 | 0.61 | 0.58 | 0.58 | 0.58 | | Qwen3-8B | 0.54 | 0.66 | 0.55 | 0.62 | 0.61 | 0.57 | 0.56 | | LLaMA-3.1-8B | 0.45 | 0.54 | 0.42 | 0.34 | 0.41 | 0.32 | 0.37 | | Qwen3-30B-A3B | 0.56 | 0.66 | 0.56 | 0.63 | 0.62 | 0.62 | 0.58 | | Qwen2.5-32B-Instruct | 0.60 | 0.67 | 0.60 | 0.67 | 0.68 | 0.64 | 0.62 | | Search-Gen-V-1.7B (SFT) | 0.63 | 0.62 | 0.62 | 0.66 | 0.66 | 0.66 | 0.64 | | Search-Gen-V-4B (SFT) | 0.70 | 0.66 | 0.68 | 0.72 | 0.72 | 0.71 | 0.70 | | Search-Gen-V-4B (SFT+RL) | 0.71 | 0.68 | 0.70 | 0.74 | 0.74 | 0.73 | 0.72 | | Qwen3-235B-A22B-Instruct-2507 | 0.72 | 0.73 | 0.73 | 0.76 | 0.76 | 0.76 | 0.74 |

• Table 2. Accuracy comparison on verifying rubrics in longform answers from DeepResearch Bench | Verifier Model | Precision | Recall | F1 | |-------------------------|---------------|------------|--------| | Qwen3-4B | 0.42 | 0.56 | 0.42 | | Search-Gen-V-4B | 0.59 | 0.57 | 0.57 | | Qwen3-235B-A22B | 0.57 | 0.67 | 0.61 |

• Table 3. Results on the short-form workload, HotpotQA | Verifier Model | Precision | Recall | F1 | |-----------------------------|---------------|------------|--------| | EM | 0.84 | 0.80 | 0.82 | | Qwen3-4B | 0.83 | 0.70 | 0.71 | | Search-Gen-V-4B | 0.86 | 0.76 | 0.77 | | Qwen3-235B-A22B | 0.87 | 0.78 | 0.80 | | EM + Qwen3-4B | 0.94 | 0.92 | 0.93 | | EM + Search-Gen-V-4B | 0.95 | 0.93 | 0.94 | | EM + Qwen3-235B-A22B | 0.96 | 0.94 | 0.95 |

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Related links

• paper:
  • AN EFFICIENT RUBRIC-BASED GENERATIVE VERIFIER FOR SEARCH-AUGMENTED LLMS
• code:
  • Search-Gen-V
• model:
  • Search-Gen-V-1.7B-SFT
  • Search-Gen-V-4B
• datasets:
  • Search-Gen-V
  • Search-Gen-V-raw
  • Search-Gen-V-eval
  • Search-Gen-V-evallog

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Citation

@article{ma2025searchgenv,
  title={AN EFFICIENT RUBRIC-BASED GENERATIVE VERIFIER FOR SEARCH-AUGMENTED LLMS},
  author={Ma, Linyue and Xu, Yilong and Long, Xiang and Zheng, Zhi},
  journal={arXiv preprint arXiv:2510.14660},
  year={2025},
  url={https://arxiv.org/abs/2510.14660}
}