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
18 lines
874 B
Markdown
18 lines
874 B
Markdown
# MMRB Multi-Image Reasoning Heuristics
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## Cross-Image Alignment
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- Track the role of each image by its index and compare evidence across all referenced images before deciding.
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- When the question depends on sequence, correspondence, or retrieval, verify the relation between images instead of judging each image independently.
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## Option Elimination
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- For multiple-choice tasks, compare all options and reject choices that match only part of the visual evidence.
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- If options differ by a small visual detail, use the most discriminative cue rather than a coarse scene impression.
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## Open Answers
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- For open-ended tasks, give the shortest answer that is fully supported by the combined images.
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- Preserve exact entities, attributes, counts, and directions when the images support them directly.
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## Final Answer
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- Output only the final answer inside <answer>...</answer>.
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