CharlesYang030
244e346b83
- 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
19 lines
962 B
Markdown
19 lines
962 B
Markdown
# BabyVision Visual QA Heuristics
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## Image Inspection
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- First identify the main objects, their attributes, and their spatial relations before answering.
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- If the question involves counting, compare all relevant instances carefully instead of stopping after the first match.
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- If the question asks about color, size, position, or action, verify the specific visible evidence for that attribute.
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## Multiple Choice
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- Compare every option against the visible image evidence before deciding.
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- Prefer the option that matches the image exactly; reject options that are only partially true or too vague.
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- When two options are close, check the smallest discriminating visual detail.
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## Open Answers
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- Answer with the shortest phrase that is fully supported by the image.
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- Match the expected level of specificity: not broader than the image evidence, not narrower than the question asks.
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## Final Answer
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- Output only the final answer inside <answer>...</answer>.
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