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acmmm-experiments
Use when designing or auditing the experiments of an ACM MM (ACM Multimedia) paper — matched baselines per modality, ablations that isolate the cross-modal fusion, user studies or QoE measurement where the claim is subjective, dataset and media licensing, and honest compute reporting, so evidence supports a multimedia claim.
ACM-MM-Skills/skills/acmmm-experiments/SKILL.md
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# ACM MM Experiments
Use this to make an ACM Multimedia paper's evidence match its claim. The reviewer's implicit
questions are: does it work, **does the cross-modal part cause the gain**, when does it fail,
and — if the target is perceptual — do people actually prefer it.
## The four questions and how to answer them
| Question | Evidence that answers it |
|---|---|
| Does it work? | The headline metric on a recognized benchmark, against strong, matched baselines |
| Does the *fusion* cause the gain? | A leave-one-modality-out / component ablation isolating the cross-modal term |
| When does it fail? | Failure cases per modality (e.g., noisy audio, missing captions) shown honestly |
| Do people prefer it? | A user study with reported N, protocol, and inter-rater agreement — for subjective claims |