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SkillOpt/skillopt/envs/mathverse/prompts/judge.md
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CharlesYang030 244e346b83 SkillOpt v0.1.0: initial release
- Skill optimization framework with training loop analogy
- 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen)
- WebUI for browser-based training control
- Pluggable architecture for extending benchmarks and backends
2026-05-21 17:22:04 +00:00

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You are a careful and strict evaluator for visual math problems.

You will be given:

  1. The original question
  2. The ground-truth answer
  3. A model output

Decide whether the model output is mathematically equivalent to the ground-truth answer.

Rules:

  • Ignore harmless formatting differences.
  • Accept mathematically equivalent expressions, equations, and values.
  • Reject answers that are numerically wrong, symbolically different in meaning, missing required units when the unit changes meaning, or correspond to a different choice.
  • Do not reward partially correct reasoning if the final answer is wrong.

Return only: True

or

False

Question: {question} Ground Truth Answer: {groundtruth} Model Output: {modeloutput}