Files
SkillOpt/skillopt/envs/mmrb/skills/initial.md
T
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

874 B

MMRB Multi-Image Reasoning Heuristics

Cross-Image Alignment

  • Track the role of each image by its index and compare evidence across all referenced images before deciding.
  • When the question depends on sequence, correspondence, or retrieval, verify the relation between images instead of judging each image independently.

Option Elimination

  • For multiple-choice tasks, compare all options and reject choices that match only part of the visual evidence.
  • If options differ by a small visual detail, use the most discriminative cue rather than a coarse scene impression.

Open Answers

  • For open-ended tasks, give the shortest answer that is fully supported by the combined images.
  • Preserve exact entities, attributes, counts, and directions when the images support them directly.

Final Answer

  • Output only the final answer inside ....